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Abstract. The rapid growth of the gig economy has transformed employment patterns worldwide, providing flexible work opportunities, particularly in areas with limited access to formal employment. This…

Abstract. The rapid growth of the gig economy has transformed employment patterns worldwide, providing flexible work opportunities, particularly in areas with limited access to formal employment. This study explored the lived experiences of gig workers in Marawi City, Philippines, focusing on their work motivation, job satisfaction, and career aspirations. Guided by Self-Determination Theory and Social Exchange Theory, the study employed a qualitative phenomenological design to understand how gig workers perceive and navigate their work experiences within a post-conflict socio-economic context. Fifteen gig workers engaged in various occupations, including online selling, tutoring, catering, photography, vlogging, make-up artistry, and buy-and-sell enterprises, were purposively selected and interviewed using semi-structured interviews. Data were analyzed through thematic analysis. Findings revealed that gig workers are primarily motivated by financial necessity, flexibility, autonomy, and opportunities for personal growth. Participants generally reported positive job satisfaction due to the independence and income-generating opportunities associated with gig work. However, challenges such as income instability, lack of employment benefits, inadequate infrastructure, and work-related stress tempered these positive experiences. Career aspirations varied, with some participants viewing gig work as a long-term entrepreneurial pathway while others regarded it as a temporary means of achieving more stable professional careers. The findings further indicate that the socio-economic realities of Marawi City significantly shape workers' motivations, experiences, and future aspirations. The study concludes that gig work serves as an important livelihood strategy in Marawi City, highlighting the need for policies and support mechanisms that promote worker protection, skills development, and sustainable career opportunities  Keywords: Career Aspiration; Gig Economy; Gig Workers; Work Motivation; Job Satisfaction

Performs phylogenetic placement with EPA-NG

Ushbu to‘plam O‘zbekiston Respublikasi Oliy ta’lim, fan va innovatsiyalar vazirligining 2024-yil 18-yanvarda №16-son buyrug‘iga asosan joriy yilning 24 – 25 apr…

Ushbu to‘plam O‘zbekiston Respublikasi Oliy ta’lim, fan va innovatsiyalar vazirligining 2024-yil 18-yanvarda №16-son buyrug‘iga asosan joriy yilning 24 – 25 aprel kunlari University of Business and Science nodavlat oliy ta’lim muassasasida «Psixologiya va Pedagogika: bugungi muammolar va yechimlari» mavzusida o‘tkazilgan respublika ilmiy-amaliy anjumani materiallarini o‘zida jamlagan. To‘plamda “Ijtimoiy psixologiya: shaxs va jamiyat masalalari”, “Uchinchi Renesans davrida psixologik xizmatning o'rni”, “Bo‘lajak o‘qituvchilarning pedagogik kompetentligini shakllantirish mexanizmlari”, “Pedagogika fanlarini o‘qitishga kreativ yondoshuv”. Kabi dolzarb mavzular doirasida turli ilmiy maqolalar keng kitobxonlar etiboriga havola qilingan. Umumah olganda mazkur to‘plamda respublikamiz oliy o‘quv yurtlari professor-o‘qituvchilari, magistratura va bakalavriat bosqichi talabalari, tayanch doktorantlar, mustaqil tadqiqotchilar, maktabgacha va maktab ta’limi muassasasi psixologlari hamda olimlarning so‘ngi ilmiy tadqiqotlari natijalari o‘rin olgan.Anjuman tashkiliy qo‘mitasiG.f.d., professor K.Boymirzayev, i.f.d., N.Sotvoldiyev, p.f.n. dotsent B.Sattarov, p.f.d., (Dsc) S.Qorayevt, f.f.d., (PhD) A.Nurmatov, p.f.f.d., (PhD) N.Kambarov, p.f.f.d., (PhD) N.Karimova, ps.f.f.d., (PhD) Sh.Ataxo‘jayeva, p.f.f.d., (PhD) M.Usmanova, Metodistpsixolog N.Kambarova. Tahrir hayati T.f.f.d., (PhD) A.Nurmatov, p.f.f.d., (PhD) N.Kambarov, p.f.f.d., (PhD) N.Karimova,ps.f.f.d., (PhD) Sh.Ataxo‘jayeva, p.f.f.d., (PhD) M.Usmanova, p.f.f.d., (PhD) A.Nazarov, katta o‘qituvchi Sh. To‘ychiyeva.Ushbu maqolalar xolisona yoritilganligi, keltirilgan dalillar va ilmiy muomalaga kiritilgan manbalar asosli ekanligi, ishonchliligi bo‘yicha mas’uliyat mualliflar zimmasida. Moqolalarda ilgari surilgan fikr-mulohazalar anjuman tahrir hayatining nuqtai-nazari bilan farq qilishi mumkin.Mazkur to‘lam University of Business and Science nodavlat oliy ta’lim muassasasi ilmiy-texnik Kengashining 2024-yil 20-apreldagi navbatdan tashqari 9-sonli yig‘ilish qaroriga asosan nashr etilgan. Annotatsiya. Maqolada o’quvchilarning mustaqil fikrlashinini shakllantirish orqali ularni kasb-hunar tanlashga bo’lgan kompetensiyalarini shakllantrish, o’quvchi shaxsining hayotida mustaqil fikriy rivojlanishining ahamiyati, talabalar tafakkurida mustaqil fikrlash hamda kasb tanlash va unga bo’lgan tushunchalarni ommalashtirish jihatlari, buyuk olimlarning mustaqil fikrlashga doir qarashlari bu maqolada aks etgan.  Аннотация. В статье рассматриваются вопросы формирования компетентности учащихся к выбору профессии путем формирования у них самостоятельного мышления, значение самостоятельного мыслительного развития личности учащегося в его жизни, аспекты самостоятельного мышления в мышлении учащихся и популяризации выбора профессии и представлений о ней, взгляды великих ученых на самостоятельное мышление.  Annotation. The article describes the formation of competencies of students for their professional choice by forming independent thinking, the importance of Independent Thought development in the life of the student's personality, aspects of independent thinking in student thinking and the popularization of career choice and concepts for it, views of great scientists on independent thinking are reflected in this article.   

These are audio recordings taken by an Eclipse Soundscapes (ES) Data Collector during the week of the April 08, 2024 Total Solar Eclipse.  It was decided to include only raw, unprocessed audio da…

These are audio recordings taken by an Eclipse Soundscapes (ES) Data Collector during the week of the April 08, 2024 Total Solar Eclipse.  It was decided to include only raw, unprocessed audio data files in each site-specific Zenodo record. This decision was so that any researcher can independently verify, reproduce, and extend the analysis performed. As a result, some sites have WAV files with 0 bytes of data or timestamps outside the range of probable recording times. Procedures used by the Eclipse Soundscapes team to process audio data for its purposes are outlined in the Data Management reports located in the Eclipse Soundscapes Zenodo community. Data with 0 bytes of data were included for completeness. When possible, all site-specific files, including the audio files, are included in a single zip file for ease of download. If a single zip file upload was not possible due to upload or bandwidth limitations, audio files are included in multiple zip files based on the day of the observation. Data Site location information: Latitude: 42.8751215  Longitude:  -78.7845108 Local Eclipse Type: Total Solar Eclipse Eclipse Percent (%): 100 WAV files Time & Date Settings: Needs to be set manually (More information on TimeStamp Setting below) Data Collector Start Time Notes: 11:15:00 AM US Eastern Included Data: Audio files in WAV format with the date and time in UTC within the file name: YYYYMMDD_HHMMSS meaning YearMonthDay_HourMinuteSecondFor example, 20240411_141600.WAV means that this audio file starts on April 11, 2024 at 14:16:00 Coordinated Universal Time (UTC) CONFIG Text file: Includes AudioMoth device setting information, such as sample rate in Hertz (Hz), gain, firmware, etc.  README.md:  Markdown formatted file with information about the recording and recording site. file_list.csv:  A machine and human file that gives the following information on each file in the record: File Name, File Type, Description, File Size in kilobytes, Name of Associated Data Dictionary with the file, calculated SHA-512 Hash of the file as a unique identifier to insure data integrity during transfer and compression. total_eclipse_data.csv:  A machine and human readable file that gives the following information about the site where the audio data recording was taken: ESID#, Latitude, Longitude, Eclipse_type, CoveragePercent, Eclipse Start UTC (1st contact), Totality Start UTC (2nd contact), Totality End UTC (3rd Contact), Eclipse End UTC (4th Contact), Max Eclipse Time UTC License.txt:  A human readable file that explains the terms and conditions under which the data can be used. AudioMoth_Operation_Manual.pdf:  A human readable document that explains the use of an AudioMoth device. The document is current up to the time of the AudioMoth's use in the Eclipse Soundscapes project. file_list_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the file_list.csv file. CONFIG_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the CONFIG.TXT file. eclipse_data_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the total_eclipse_data.csv file. WAV_data_dict.csv:  A machine and human data dictionary file that gives information on the variables contained within the *.WAV files. ES_Data_Management_Pre-Eclipse_Data_Infrastructure_Stage_0.pdf:  PDF document that describes Stage 0 (Pre-Eclipse Infrastructure and Data Stewardship Planning) of the Eclipse Soundscapes (ES) data lifecycle. ES_Data_Management_Receipt_Sorting_and_Metadata_Organization_Stage_1.pdf:  PDF document that describes Stage 1 (Receipt, Sorting, and Metadata Organization) of the Eclipse Soundscapes (ES) data lifecycle. ES_Data_Management_Data_Processing_Stage_2.pdf:  PDF document that describes Stage 2 (Data Processing) of the Eclipse Soundscapes (ES) data Volunteer Scientists. 2023 and 2024 solar eclipse soundscapes audio datalifecycle. ES_Data_Management_Data_Sharing_Stage_3.pdf:  PDF document that describes Stage 3 (Public Data Sharing) of the Eclipse Soundscapes (ES) data lifecycle. Eclipse Information for this location: Eclipse Date: April 08, 2024 Eclipse Start Time (UTC) (1st Contact): 18:04:58 Totality Start Time (UTC) (2nd Contact): [N/A if partial eclipse] 19:18:21 Eclipse Maximum Time [when the most possible amount of the Sun in blocked] (UTC): 19:20:14 Totality End Time (UTC) (3rd Contact): [N/A if partial eclipse] 19:22:07 Eclipse End Time (UTC) (4th Contact): [N/A if partial eclipse] 20:32:09 Audio Data Collection During Eclipse Week ES Data Collectors used AudioMoth devices to record audio data, known as soundscapes, over a 5-day period during the eclipse week: 2 days before the eclipse, the day of the eclipse, and 2 days after. The complete raw audio data collected by the Data Collector at the location mentioned above is provided here. This data may or may not cover the entire requested timeframe due to factors such as availability, technical issues, or other unforeseen circumstances.  ES ID# Information: Each AudioMoth recording device was assigned a unique Eclipse Soundscapes Identification Number (ES ID#). This identifier connects the audio data, submitted via a MicroSD card, with the latitude and longitude information provided by the data collector through an online form. The ES team used the ES ID# to link the audio data with its corresponding location information and then uploaded this raw audio data and location details to Zenodo. This process ensures the anonymity of the ES Data Collectors while allowing them to easily search for and access their audio data on Zenodo.  TimeStamp Information: The ES team and the Data Collectors took care to set the date and time on the AudioMoth recording devices using an AudioMoth time chime before deployment, ensuring that the recordings would have an automatic timestamp. However, participants also manually noted the date and start time as a backup in case the time chime setup failed. The notes above indicate whether the WAV audio files for this site were timestamped manually or with the automated AudioMoth time chime.   Common Timestamp Error: Some AudioMoth devices experienced a malfunction where the timestamp on audio files reverted to a date in 1970 or before, even after initially recording correctly. Despite this issue, the affected data was still included in this ES site's collected raw audio dataset. Latitude & Longitude Information: The latitude and longitude for each site was taken manually by data collectors and submitted to the ES team, either via a web form or on paper. It is shared in Decimal Degrees format. General Project Information: The Eclipse Soundscapes Project is a NASA Volunteer Science project funded by NASA Science Activation that is studying how eclipses affect life on Earth during the October 14, 2023 annular solar eclipse and the April 8, 2024 total solar eclipse. Eclipse Soundscapes revisits an eclipse study from almost 100 years ago that showed that animals and insects are affected by solar eclipses! Like this study from 100 years ago, ES asked for the public's help. ES uses modern technology to continue to study how solar eclipses affect life on Earth!  Eclipse Soundscapes is an enterprise of ARISA Lab, LLC and is supported by NASA award No. 80NSSC21M0008. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Aeronautics and Space Administration.   Eclipse map/figure/table/predictions courtesy of Fred Espenak, NASA/Goddard Space Flight Center, from eclipse.gsfc.nasa.gov.   Eclipse Data Version Definitions {1st digit = year, 2nd digit = Eclipse type (1=Total Solar Eclipse, 9=Annular Solar Eclipse, 0=Partial Solar Eclipse), 3rd digit is unused and in place for future use} 2023.9.0 = Week of October 14, 2023 Annular Eclipse Audio Data, Path of Annularity (Annular Eclipse) 2023.0.0 = Week of October 14, 2023 Annular Eclipse Audio Data, OFF the Path of Annularity (Partial Eclipse) 2024.1.0 = Week of April 8, 2024 Total Solar Eclipse Audio Data, Path of Totality (Total Solar Eclipse) 2024.0.0 =  Week of April 8, 2024 Total Solar Eclipse Audio Data , OFF the Path of Totality (Partial Solar Eclipse) An A at the end of the version number indicates that the record has multiple zip files. Each zip file is an archive of the WAV files recorded on a particular day. The formatting of the name of these zip archives is ESID_NNN_YYYY_MM_DD.zip. *Please note that this dataset's version number is listed below. Eclipse Soundscapes Data Collector Role Training and Implementation Resources Manual (2023-2024) (Archival Copy) This site-level record includes the Eclipse Soundscapes Data Collector Role Training and Implementation Resources Manual (2023-2024). The manual documents the participant training, device setup procedures, metadata submission requirements, ES ID system, timestamp protocols, data return workflow, and public archiving processes used during the October 14, 2023 annular solar eclipse and the April 8, 2024 total solar eclipse. The manual is preserved for transparency and reproducibility and reflects the procedures under which this dataset was collected and processed. (DOI 10.5281/zenodo.18623442) Data Receipt, Processing, and Analysis Methods All programs supporting Stages 1–3 are openly available in the: Eclipse Soundscapes GitHub repository: https://github.com/ARISA-Lab-LLC/ESCSP Data Management Lifecycle The following section documents the relationship of this record to the full Eclipse Soundscapes (ES) data lifecycle, a multi-stage workflow designed to support large-scale participatory science, long-term data stewardship, open science, and scientific reuse. Each stage addressed a different operational need, beginning before eclipse deployment and continuing through validation, public archiving, and scientific analysis. Together, these stages transformed distributed volunteer-submitted audio recordings into structured, documented, publicly accessible NASA-funded research assets. Stage 0: Pre-Eclipse Infrastructure and Deployment Preparation Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Pre-Eclipse Infrastructure and Deployment Preparation (Stage 0). Zenodo. https://doi.org/10.5281/zenodo.20413370 Stage 0 focused on building the operational foundation required to support geographically distributed eclipse data collection at national scale. This stage included AudioMoth device preparation, accessibility modifications, ES ID # assignment systems, metadata collection workflows, participant training materials, deployment logistics, and planning for downstream data stewardship and archival workflows. The 2023 annular eclipse served as both a scientific investigation and a large-scale operational beta test that informed improvements for the 2024 total solar eclipse campaign. Related Citations and Resources: Severino, M., & Kline, T. (2025, November 24). Eclipse Soundscapes Apprentice Role Curriculum: Solar Eclipses and Multi-Sensory Observing (Informal Education). Zenodo. https://doi.org/10.5281/zenodo.17703003 Severino, M., & Bauer, D. J. (2026). Eclipse Soundscapes Observer Role Training and Resources Manual (2023–2024). Zenodo. https://doi.org/10.5281/zenodo.18633602</li> Severino, M., Winter, H., & Bauer, D. J. (2026). Eclipse Soundscapes Data Collector Role Training and Implementation Manual (2023–2024). Zenodo. https://doi.org/10.5281/zenodo.18623443 Stage 1: Receipt, Sorting, and Metadata Organization Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Receipt, Sorting, and Metadata Organization (Stage 1). Zenodo. https://doi.org/10.5281/zenodo.19471425 Stage 1 transformed returned participant materials into organized, traceable site-level records. This included receiving mailed microSD cards, consolidating participant-submitted metadata, reconciling handwritten and online records, organizing physical audio media by ES ID #, and deriving eclipse timing and coverage information using NASA eclipse prediction datasets. The outputs of Stage 1 established the structured metadata relationships required for downstream validation, processing, archiving, and analysis workflows. Related Citations and Resources: Winter, H., & Goncalves, J. (2026). EPTT (Eclipse Phase Timing Tool) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/ESCSP-Eclipse-Phase-Timing-Tool/li> Espenak, F. (n.d.). Eclipse predictions by Fred Espenak, NASA's GSFC Eclipse Web Site. NASA Goddard Space Flight Center. http://eclipse.gsfc.nasa.gov/eclipse.html Stage 2: Data Processing and Validation Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Data Processing (Stage 2). Zenodo. https://doi.org/10.5281/zenodo.18683402 Stage 2 focused on centralized audio ingestion, validation, timestamp verification, metadata reconciliation, and preparation of datasets for analysis and public sharing. During this stage, returned audio recordings were processed using custom open-source tools developed by the ES team, including ES WAVES and ES AMES. The project implemented scalable infrastructure capable of processing large volumes of participant-submitted microSD cards while preserving all raw audio data without modification. Stage 2 established the validated dataset structure required for long-term preservation and scientific analysis. Related Citations and Resources: Winter, H., & Goncalves, J. (2026). ES WAVES (Eclipse Soundscapes WAV Audio Validation & Extraction Suite) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/ESCSP-ES-WAV-Audio-Validation-Extraction-Suite Winter, H., & Goncalves, J. (2026). ES AMES (Eclipse Soundscapes AudioMoth Metadata Extractor Suite) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/ESCSP-ES-AMES-AudioMoth-Metadata-Extractor-Suite Stage 3: Public Data Sharing and Open Archiving Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Management: Public Audio Data Sharing (Stage 3). Zenodo.https://doi.org/10.5281/zenodo.18683437 Stage 3 transformed validated site-level datasets into publicly archived, DOI-assigned research records published through the Eclipse Soundscapes Zenodo Community. This stage included dataset packaging, metadata standardization, README generation, integrity verification, DOI assignment, and automated repository upload workflows using the Automated Zenodo Upload Software (AZUS). These workflows established the project's long-term open-science infrastructure and ensured that datasets remained findable, accessible, interoperable, reusable, and citable for future scientific and educational use. Related Citations and Resources: Winter, H., & Goncalves, J. (2026). AZUS (Automated Zenodo Upload Software) [Computer software]. GitHub. https://github.com/ARISA-Lab-LLC/AZUS-Automated-Zenodo-Upload-Software Stage 4: Scientific Analysis and Research Use Stage 4 involves the scientific analysis and interpretation of validated eclipse soundscape datasets. Analysis workflows utilized datasets verified during earlier stages to investigate eclipse-related environmental and animal vocalization changes across hundreds of recording sites. This stage also includes broader scientific interpretation, publication development, and continued reuse of Eclipse Soundscapes datasets and infrastructure for future research, education, and open-science applications. Related Citations and Resources: Pease, B., Gilbert, N., & Severino, M. (2026). Eclipse Soundscapes Preliminary Findings – How Eclipses Affect Nature as determined by Sound (Recorded Webinar). Zenodo.https://doi.org/10.5281/zenodo.18613979 Gilbert, N. A., Pease, B. S., Severino, M., & Winter, H. III. (2026). Photic niche explains avian behavioral responses to solar eclipses. Ecology and Evolution, 16(2), e73090. https://doi.org/10.1002/ece3.73090 Analysis code repository: https://github.com/BrentPease1/eclipse-traits Companion Zenodo record archiving structured analysis scripts and derived outputs: https://doi.org/10.5281/zenodo.15790879[r] Public Archiving, Privacy, and Data Transparency The Eclipse Soundscapes Data Collector Role Training and Implementation Manual (2023-2024) includes a detailed explanation of how Eclipse Soundscapes audio data are publicly archived on Zenodo, how participant privacy is protected through the ES ID system, and how transparency and traceability are maintained. It also outlines the criteria for determining which recordings are included in the public archive, as well as the distinction between publicly shared archival data and datasets used for ES-led scientific analyses. Participants and data users can consult this section for full documentation of the project's open science and privacy practices. Severino, M., & Winter, H. (2026). Eclipse Soundscapes Data Collector Role Training and Implementation Manual (2023–2024). Zenodo. https://doi.org/10.5281/zenodo.18623443 Citations Individual Site Citation: APA Citation (7th edition) Winter, H., Severino, M., & Volunteer Scientist. (2026). 2024 solar eclipse soundscapes audio data [Audio dataset, ES ID# 368]. Zenodo.{Insert DOI} Collected by volunteer scientists as part of the Eclipse Soundscapes Project. This project is supported by NASA award No. 80NSSC21M0008. Eclipse Community Citation Winter, H., Severino, M., & Volunteer Scientists. 2023 and 2024 solar eclipse soundscapes audio data [Collection of audio datasets]. Eclipse Soundscapes Community, Zenodo. https://zenodo.org/communities/eclipsesoundscapes/ Collected by volunteer scientists as part of the Eclipse Soundscapes Project This project is supported by NASA award No. 80NSSC21M0008.  

This study investigated whether senior high school Social Studies teachers’ perceived digital competencies predict their perceived critical thinking instructional skills. Conducted in the School…

This study investigated whether senior high school Social Studies teachers’ perceived digital competencies predict their perceived critical thinking instructional skills. Conducted in the Schools Division of Region 3, Philippines, the study employed a predictive-correlational research design. A total of 160 senior high school Social Studies teachers from across the four congressional districts of the Schools Division of Region 3 participated, selected through district quota sampling with eligibility-based screening. Data were collected using a validated survey instrument measuring five domains of digital competencies (based on DigComp 2.2) and five dimensions of critical thinking instructional skills. Findings revealed that senior high school Social Studies teachers demonstrated high levels of perceived digital competencies across all domains and very high competence in implementing critical thinking instructional skills. Multiple linear regression analysis indicated that perceived digital competencies, when combined, significantly predict critical thinking instructional skills, explaining 42% of the variance (R2 = 0.42). These findings are particularly relevant to Social Studies education, wherein teachers are uniquely positioned to integrate digital tools in facilitating evidence-based discussions, critical inquiry, and the analysis of complex social, political, and economic issues. Among the domains, problem-solving retained the largest unique predictive contribution in the simultaneous regression model (B = 0.329, p = 0.006). The non-significance of the remaining four domains in the simultaneous model should be interpreted cautiously, as it likely reflects the substantial shared variance among the five domains — a consequence of multicollinearity — rather than true pedagogical irrelevance. These findings suggest that digital competency, considered collectively, is a meaningful predictor of critical thinking instructional skills, and that problem-solving most distinctively contributes to this relationship among the five domains. The study concludes that digital competence, particularly problem-solving, is integral to enhancing critical thinking pedagogy in Social Studies. These findings provide empirical support for targeted professional development initiatives that strengthen senior high school Social Studies teachers’ problem-solving skills and promote the pedagogical integration of digital technologies to improve higher-order thinking instruction.        

Added #63 - Report hmmbuild, EPA-NG and GAPPA heat tree logs/output in MultiQC (#3) (by @erikrikarddaniel) Changed #62 - Template update to 4.0.3 and software updates (by @erikrikarddaniel)

TikTok merupakan salah satu media sosial yang banyak digunakan oleh mahasiswa sebagai sarana memperoleh hiburan, informasi, dan berinteraksi dengan pengguna lain. Tingginya intensitas penggunaan TikTo…

TikTok merupakan salah satu media sosial yang banyak digunakan oleh mahasiswa sebagai sarana memperoleh hiburan, informasi, dan berinteraksi dengan pengguna lain. Tingginya intensitas penggunaan TikTok diduga dapat memengaruhi kecenderungan narsistik pada mahasiswa. Penelitian ini bertujuan untuk mengetahui pengaruh intensitas penggunaan TikTok terhadap kecenderungan narsistik pada mahasiswa di Kota Medan. Penelitian ini menggunakan pendekatan kuantitatif dengan sampel sebanyak 348 mahasiswa aktif perguruan tinggi negeri dan swasta di Kota Medan yang dipilih menggunakan teknik purposive sampling. Pengumpulan data dilakukan menggunakan skala intensitas penggunaan TikTok yang disusun berdasarkan aspek frekuensi dan durasi serta skala kecenderungan narsistik yang diadaptasi dari Narcissistic Personality Inventory (NPI-40) oleh Raskin dan Terry (1988). Hasil penelitian menunjukkan bahwa intensitas penggunaan TikTok berpengaruh negatif dan signifikan terhadap kecenderungan narsistik pada mahasiswa di Kota Medan (F = 4,796; p = 0,029). Persamaan regresi yang diperoleh adalah Y = 22,221 − 0,082X, yang menunjukkan bahwa setiap peningkatan satu satuan intensitas penggunaan TikTok diikuti dengan penurunan skor kecenderungan narsistik sebesar 0,082. Nilai koefisien korelasi sebesar R = 0,117 menunjukkan hubungan yang sangat rendah, sedangkan nilai koefisien determinasi (R² = 0,014) menunjukkan bahwa intensitas penggunaan TikTok memberikan kontribusi sebesar 1,4% terhadap kecenderungan narsistik, sementara 98,6% dipengaruhi oleh faktor-faktor lain yang tidak diteliti. Dengan demikian, intensitas penggunaan TikTok merupakan salah satu faktor yang berpengaruh terhadap kecenderungan narsistik pada mahasiswa, namun besarnya pengaruh tersebut relatif kecil. 

Purpose: The purpose of this study was to assess students and teachers’ perceptions concerning their participation in an educational kickboxing learning unit based on a hybridization of two peda…

Purpose: The purpose of this study was to assess students and teachers’ perceptions concerning their participation in an educational kickboxing learning unit based on a hybridization of two pedagogical models: Sport Education and Teaching for Personal and Social Responsibility. Method: Seventy-one students and three physical education teachers agreed to participate. Several instruments were used to collect data: (a) an open-ended question, (b) Photovoice, (c) teacher and external observers’ diaries, and (d) semistructured interviews. MAXQDA 11 software was used to assist with data management, with all participants’ answers being analyzed via thematic content analysis. Results: Analysis of the data produced 11 themes, three considered strong: responsibility, learning and roles, five considered moderate: enjoyment, teaching, competition, cooperation and novelty, and three considered weak: friendship, affiliation and transfer. Conclusion: These findings indicated that the hybridization of the two pedagogical models seems to help increase both social and personal responsibility and to provide students with meaningful sporting experiences.   Note. This article will be published in a forthcoming issue of the Journal of Teaching in Physical Education. The article appears here in its accepted, peer-reviewed form. It has not been copyedited, proofread, or formatted by the Publisher.

(1) Codes of the proposed MT denosing method. (2) Synthetic and observed data for the tests shown in the manuscript.

What's Changed fix: extend knmi importer with support for other projections by @mats-knmi in https://github.com/pySTEPS/pysteps/pull/562 Bump version by @mats-knmi in https://github.com/pySTEPS/pyste…

What's Changed fix: extend knmi importer with support for other projections by @mats-knmi in https://github.com/pySTEPS/pysteps/pull/562 Bump version by @mats-knmi in https://github.com/pySTEPS/pysteps/pull/565 Full Changelog: https://github.com/pySTEPS/pysteps/compare/v1.21.2...v1.21.3