bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGOLAHAN LIMBAH AMPAS TAHU MENJADI KUKIS OLEH KADER POSYANDU KELURAHAN BALANGNIPA
Authors: Ishak A.Taufik , Srimularahmah Andi , Asfar Andi Muhammad Irfan Taufan , Asfar Andi Muhammad Iqbal Akbar , Asis M. Nasrul , Handayani Firti
Published: December 2023

Industrial by-products, are industrial wastes or industrial by-products, which are produced during the production process of an industry but are not the desired main product. Components or materials that occur as a natural result of industrial processes and often have no commercial value or can even be considered as waste. One of the industrial wastes is tofu dregs. Tofu dregs is a by-product of the process of making tofu for other soy products. When soybeans are processed to produce tofu, the soybean seeds are soaked, ground, and extracted to obtain soy milk. This soy milk is then further processed into tofu, while the tofu dregs become waste. In Balangnipa Village, there are 4 operating tofu industries which produce tofu dregs which is only made or used as animal feed, whereas tofu dregs can be used as a product in the form of cookies. The lack of public knowledge of tofu dregs waste processing is the basis for this service. So that with this service it will help the community in the implementation of making cookies through the stages of counseling, training and mentoring to partners. The results of this program are able to increase partners' knowledge in processing tofu waste into cookies. The results of this program are able to increase partners' knowledge and productivity in processing tofu waste into cookies is packaged 250 gram pouch.

 

Abstrak

Hasil samping industri, adalah limbah industri atau produk sampingan industri, yang dihasilkan selama proses produksi suatu industri tetapi tidak merupakan produk utama yang diinginkan. Komponen atau material yang muncul sebagai hasil alami dari proses industri dan sering kali tidak bernilai komersial atau bahkan dapat dianggap sebagai limbah. Salah satu limbah hasil industri adalah ampas tahu. Limbah ampas tahu adalah hasil samping dari proses pembuatan tahu produk kedelai lainnya. Ketika kedelai diolah untuk menghasilkan tahu, biji kedelai tersebut direndam, digiling, dan diekstraksi untuk mendapatkan susu kedelai. Susu kedelai ini kemudian diproses lebih lanjut menjadi tahu, sementara ampas tahu menjadi limbah. Di Kelurahan Balangnipa terdapat 4 industri tahu yang beroperasi yang menghasilkan limbah ampas tahu yang hanya dibuata atau dijadikan pakan ternak padahal limbah ampas tahu dapat dijadikan produk berupa kukis. Kurangnya pengetahuan masyarakat akan pengolahan limbah ampas tahu menjadi hal yang mendasari pengabdian ini. Sehingga dengan aadanya pengabdian ini akan membantu masyarakat dalam pelaksanaan pembuatan kukis melalui tahap penyuluhan, pelatihan dan pendampingan kepada mitra. Hasil dari program ini mampu meningkatkan pengetahuan mitra dalam mengolah limbah ampas tahu menjadi kukis. Hasil program ini mampu meningkatkan pengetahuan mitra dan produktifitasnya dalam mengolah limbah ampas tahu menjadi kukis dengan kemas pouch 250 gram.
The Factors That Influence Student Satisfaction During Online Learning on The Subject of Culinary in the Bachelor of Applied Culinary Program of UNY
Authors: Auliana Rizqie Auliana Rizqie , Rahmawati Fitri , Mahanani Thyara , Marwanti Marwanti
Published: December 2023

This study aims to determine: (1) the factors that influence student satisfaction during online learning on the subject of culinary in the Bachelor of Applied Culinary Program of UNY, (2) the factors that dominate student satisfaction during online learning on the subject of culinary in the Bachelor of Applied Culinary Program of UNY, (3) the factors of student dissatisfaction during online learning on the subject of culinary in the Bachelor of Applied Culinary Program of UNY. The type of research is quantitative with a survey method. The research was carried out in March-August 2022 with the subject being students of Bachelor of Applied Culinary Programs at UNY Wates & Gunung Kidul Campus. Total population 189 people. The sampling technique used was the purposive sampling method. The data collection technique used a questionnaire and the data analysis technique used was descriptive quantitative. The results of the study show that: (1) the factors that influence student satisfaction during online learning are good e-teaching, good e-resources, assessment, learning content, perceived flexibility, perceived usefulness, learner-learner interactions, learner-instructor interactions, self-regulated learning; (2) The most dominant factor influencing student satisfaction during online learning is assessment; (3) the factors that became a source of student dissatisfaction during online learning were not found.
Multicultural Education in the perspective of the Qur'an and Hadith: Concepts and Implementation
Authors: Gozali Ahd
Published: December 2023

Multicultural education is education that accommodates cultural and societal diversity. In the perspective of the Qur'an and Hadith, multicultural education is considered important for developing awareness of diversity and tolerance towards differences. This research aims to analyze multicultural education in the perspective of the Qur'an and Hadith. The method used in this research is a qualitative method with a literature study approach using hermeneutic approach. The data used in this research are the Qur'an, tafsir books, and hadiths from Kutub as-Sittah. The data obtained were analyzed using content analysis techniques. The results of the research show that the Qur'an and Hadith provide strong support for multicultural education by providing clear concepts such as Tolerance, Justice, Democracy, Equality, as well as Brotherhood and kinship.
Interactive Video Development With a Scientific-Based Ethnopedagogical Approach for Elementary School Students : An Analysis Review
Authors: Raharjo Makmun , Safitri Erna Retna , Harlin Harlin
Published: December 2023

This study aims to analyze the need an interactive video development with a scientific-based ethnopedagogic approach for elementary school students. The approach used is a qualitative approach. Data collection was carried out using a questionnaire method with 34 teachers as respondents. The results showed that students' difficulties in learning were mainly caused by teachers' explanations that were not well understood (37 percent). Teachers rarely use ICT-based media (41.2 percent) and mainly learning uses presentation (38.2 percent) and discussion (38.2 percent). As many as 73.5 percent of teachers use media downloaded from the internet. Barriers to developing media were caused by only 14.7 percent of teachers being able to develop their media. Teachers experience difficulties in conveying material to students so 79.4 percent of teachers want the development of interactive learning media. As many as 97.1 percent of teachers also want the media to be developed with a scientific approach, 76.5 percent consider it necessary to introduce local culture to support character education. The results of the analysis of supporting facilities show that 35.3 percent of schools have adequate internet access, 88.9 percent of students have laptops and 11.1 percent have mobile phones. The research results show the need to develop instructional media with a scientific-based ethnopedagogic approach
Sebaran Makrozoobentos di Sungai Kalimati Pamarayan Desa Panyabrangan, Kecamatan Cikeusal, Kabupaten Serang, Provinsi Banten
Authors: Tamirrino Fadhil Naufal , Susanto Adi , Aryani Desy
Published: December 2023

ABSTRAKMakrozoobentos merupakan organisme yang sebagian hidupnya berada di dasar perairan, bersifat menetap, hidup relatif lama, dan bergerak relatif lamban. Makrozoobentos dapat berfungsi sebagai indikator biologi di wilayah perairan yang tercemar. Pada Kalimati Pamarayan terjadi kerusakan habitat yang ditandai dengan terjadinya ledakan jumlah ganggang (blooming algae). Dikarenakan adanya gangguan terhadap habitat makrozoobentos maka perlu dilakukan penelitian mengenai sebaran makrozoobentos sebagai data pendukung untuk pengelolaan di Sungai Kalimati Pamarayan. Penelitian dilaksanakan pada bulan November 2022. Pengambilan sampel menggunakan metode purposive sampling pada 5 stasiun pengamatan. Analisis data yang dilakukan meliputi kelimpahan makrozoobentos, indeks keanekaragaman, indeks keseragaman, indeks dominansi, indeks morisita dan tekstur sedimen. Makrozoobentos yang berhasil didapatkan terdiri atas 3 kelas invertebrata yaitu bivalvia (2 spesies), gastropoda (7 spesies), dan malacostraca (1 spesies). Parameter fisika dan kimia yang didapatkan yaitu suhu 28o-30 oC; pH air 7,1-8,1; pH sedimen 6, dan DO 6,2-8,7 mg/l. Sebaran makrozoobentos yang terdapat di lokasi penelitian yaitu mengelompok,seragam dan acak dengan tekstur sedimen silt loam dan sandy loam. Kelimpahan tertinggi yaitu 42,86 ind/m²diperoleh pada stasiun 1. Pada kelima stasiun memiliki nilai keanekaragaman sedang, nilai keseragaman tinggi, nilai dominansi rendah pada Sungai Kalimati Pamarayan.Kata Kunci: habitat, makrozoobentos, Kalimati Pamarayan, sebaranABSTRACTMacrozoobenthos are organisms that live partly at the bottom of the water, are sedentary, live relatively long, and move relatively slowly.  Macrozoobenthos can serve as a biological indicator in polluted water areas. In Pamarayan, there is habitat destruction characterized by the occurrence of blooming algae. Due to the disturbance of macrozoobenthos habitat, it is necessary to conduct research on the distribution of macrozoobenthos as supporting data for management in the Pamarayan River. The research was conducted in November 2022 through purposive sampling method at 5 observation stations. Data analysis included macrozoobenthos abundance, diversity index, uniformity index, dominance index, morisite index and sediment texture. Macrozoobenthos that were successfully obtained consisted of 3 invertebrate classes namely bivalves (2 species), gastropods (7 species), and malacostraca (1 species). Physical and chemical parameters obtained were temperature 28o-30 oC, water pH 7.1-8.1, sediment pH 6, and DO 6.2-8.7 mg/l. The distribution of macrozoobenthos found in the study site is clustered, uniform and random with silt loam and sandy loam sediment textures. The highest abundance of 42.86 ind/m² was obtained at station 1. The five stations have moderate diversity value, high uniformity value, low dominance value in Pamarayan River.Keywords: habitat, macrozoobenthos, Kalimati Pamarayan, distribution.
Belajar Menyimak dan Menulis Berdasarkan Cerita Rakyat Pulau Madura (Kesenian Topeng Dalang) Bagi Pebelajar BIPA Tingkat Dasar
Authors: Fatmawati Ira , Hani’ah Hani’ah
Published: December 2023

Keterampilan menyimak dapat dipengaruhi dari (1) tingkat frekuensi, (2) gender, (3) motivasi. Daya simakan dapat ditingkatkan dengan tingkat frekuensi dan motivasi, bahkan dddipengaruhi juga dengan gender.   Menyimak merupakan dasar dari keterampilan berbahasa. Seseorang yang tidak dapat mendengar maka secara otomatis dia tidak dapat berbicara, menulis, dan membaca. Kegiatan pembelajaran menyimak dan menulis dapat dilakukan secara bersamaan dengan tahapan pembelajaran sebagai berikut, (1) bagian 1 belajar menyimak gambar, (2) bagian 2 belajar menyimak, (3) bagian 3 menceritakan kembali cerita tari topeng yang telah disimak. Kegiatan menyimak dapat dilakukan dengan cara (1) menyimak gambar, (2) simak ulang ucap, (3) simak kerjakan.
Pemanfaatan Serasah Daun Bambu Menjadi Pupuk Organik di Desa Alu Kabupaten Polewali Mandar
Authors: Karim Faradilah Farid , Indhasari Fitri , Idris Andi Irmayanti , Arhim Muhammad
Published: December 2023

Alu Village is one of the villages in Polewali Mandar Regency, West Sulawesi Province. Alu Village has a bamboo forest covering an area of 18 ha. The existence of bamboo plants in Alu Village is very abundant, so bamboo leaf litter has the potential to be used as organic fertilizer. Most of the people of Alu Village make their living as farmers. Utilizing bamboo leaf litter into compost is a good alternative for the community. However, the lack of public knowledge regarding making compost means that many are still reluctant to use this fertilizer. This community service program aims to educate the public regarding the use of bamboo litter as compost and minimize bamboo litter waste in Alu Village. The method used is direct provision of materials and practice of making organic fertilizer from bamboo litter through the participation of active participants. The use of bamboo leaf litter as fertilizer, apart from utilizing waste, is also expected to have an influence on plant growth on agricultural land and plantations in local communities.
Consumer Purchase Intention Post COVID-19 Pandemic Through Marketplace : An Action Learning Study
Authors: Ferdiansyah Oky Arif , Nugroho Sukmo Hadi
Published: December 2023

This study aims to find out and complement existing information related to the influence of e-trust, e-satisfaction, and social influence on purchase intention mediated by e-value. This is a survey research that uses quantitative methods with data collection techniques through online questionnaires which were distributed to 700 marketplace consumer respondents who had purchased cell phones or gadgets from January 2023 to June 2023. There were 700 questionnaires distributed and 233 returned, but only 155 were used according to this study’s criteria. This research was carried out through a validity test and a reliability test through the MSA test with the KMO and Bartlett tests. The hypothesis test used SEM-PLS through SmartPLS 3.3.9 software. The results showed that four of the seven hypotheses proposed in this study were proven positive and significant: the effect of e-trust on e-value and purchase intention, the effect of social influence on e-value and purchase intention, while the other hypotheses which could not be proven (not significant) were the effect of e-satisfaction on e-value and purchase intention, and the effect of e-value on purchase intention. In addition, indirectly, e-value plays a role in mediating the effect of e-trust and social influence on purchase intention because it is able to change (weaken) the significant effect to be insignificant. As for mediating the effect of e-satisfaction on purchase intention, the e-value variable is unable to mediate (strengthen) because the results are not significant or the same as the direct effect of e-satisfaction on purchase intention.
PENERAPAN SISTEM CERDAS KLASIFIKASI CITRA TELAPAK TANGAN DENGAN METODE NAÏVE BAYES
Authors: Yanuar Ilham Millenialdo , Wulanningrum Resty , Nur Farida Intan , Ayu Dunia Widyadara Made
Published: December 2023

Kemajuan teknologi saat ini berkembang pesat, khususnya pada pengolahan citra digital. Citra digital merupakan gambaran foto atau video dengan memiliki warna RGB. Pada saat ini kamera CCTV sudah banyak terpasang di setiap tempat indoor ataupun outdoor. Akan tetapi Kamera CCTV sekarang hanya bersifat “pasif” dengan fungsi merekam dan menyimpan suatu kejadian, apabila terjadi sesuatu yang bersifat darurat contohnya tindak kekerasan seperti tawuran, bullying dan lain sebagainya. Tujuan pada sistem ini yaitu untuk mendeteksi kejadian yang bersifat darurat dengan proses klasifikasi citra telapak tangan menggunakan metode Naïve Bayes. Pada tahapan awal sistem menyiapkan data training sebagai dataset, kemudian kamera CCTV mengambil citra telapak tangan digunakan untuk data testing, tahapan selanjutnya yaitu proses ekstraksi ciri HSV untuk mengetahui hasil citra pada gambar. Proses yang terakhir yaitu mengklasifikasi data testing dengan metode Naïve Bayes melalui 3 skenario uji coba dan ditemukan perhitungan hasil akurasi, untuk skenario ke-1 memperoleh hasil akurasi 90%, pada skenario ke-2 memperoleh hasil akurasi 92%, dan untuk hasil akurasi pada skenario ke-3 menghasilkan nilai akurasi 100%. Dengan demikian klasifikasi menggunakan metode Naïve Bayes memiliki hasil yang akurat dengan data training lebih banyak dari data testing agar sistem dapat memperoleh hasil yang baik.Kata kunci : Naïve Bayes, Klasifikasi, Citra Telapak Tangan, CCTV, Citra Digital
PENGEMBANGAN APLIKASI MANAJEMEN TUGAS DAN KINERJA KARYAWAN BERBASIS ANDROID
Authors: Sufaidah Siti , Bariyyah Annisa’ Khoirul
Published: December 2023

Sumber daya manusia merupakan faktor penentuan kelangsungan hidup suatu perusahaan baik yang bergerak dibidang produk maupun bidang jasa. Salah satu SDM penting dalam suatu perusahaan atau istansi adalah karyawan. Berdasarkan hasil observasi dan wawancara pada beberpa karyawan Unwaha, diketahui bahwa sistem administrasi di Unwaha masih perlu perbaikan, diantaranya dalam hal laporan pekerjaan, menejemen tugas dan efisiensi waktu. Oleh karena itu perlu dilakukan menejemen tugas dan kinerja karyawan untuk mempermudah dan meningkatkan produktivitas karyawan. Tujuan penelitian ini adalah mengembangkan aplikasi untuk mempermudah karyawan dalam menerima tugas, mengerjakan tugas, perbaikan tugas, penyimpanan data, dan efisiensi waktu kerja karyawan. Penelitian ini dilakukan pada bulan Januari sampai Mei 2021 di Universitas KH. A. Wahab Hasbullah Jombang. Metode yang digunakan dalam penelitian ini adalah metode eksperiment dengan pendekatan kuantitatif. Model pengembangan sistem yang digunakan adalah metode Rapid Application Development (RAD). Hasil uji coba pengembangan aplikasi diketahui bahwa aplikasi yang dikembangkan sudah sesuai dengan fungsinya yaitu mempermudah karyawan Unwaha dalam menyelesaikan tugas mereka.Kata kunci: Aplikasi, Manajemen Karyawan, Manajemen Tugas, Sumber Daya Manusia
RANCANG BANGUN APLIKASI VIRTUAL TOUR WISATA LAUT MADURA (LOKASI: PANTAI TALANG SIRING PAMEKASAN MADURA)
Authors: Dwi Putra Negara Yudha , Hardi Shofia , Reynaldi Valerian Farhan , Abdul Fatah Doni , Soesilo Budi
Published: December 2023

Pesatnya perkembangan pariwisata telah menyebabkan perubahan sosial yang dibawa oleh interaksi masyarakat dengan wisatawan. Ada pola perilaku yang mempengaruhi masyarakat setempat. Salah satu wisata yang dimiliki oleh Pemkab Pamekasan merupakan destinasi wisata pantai di Tarang Siring yang terletak di Desa Montok dan Kaduara Barat di Kecamatan Larangan. Peneliti bermaksut meningkatkan layanan dalam memberikan media promosi berupa rancang bangun aplikasi Virtual Tour Wisata Laut Madura untuk lokasi wisata Pantai Talang Siring Pamekasan Madura. Metode penelitian yang digunakan adalah metode perancangan dan pembangunan pengembangan perangkat perangkat lunak dengan konsep Multimedia Development Life Cycle atau MDLC. Metodologi MDLC terdiri dari enam tahapan dasar, yaitu konsep (concept), perancangan (design), pengumpulan bahan (material collecting), pembuatan (assembly), pengujian (testing), dan distribusi (distribution). Hasil pengujian sistem aplikasi Virtual Tour Wisata Laut Madura menggunakan blackbox testing dengan 5 fitur telah menunjukkan hasil bahwa sistem telah berhasil 5 fitur bekerja sesuai dan sesuai dengan apa yang diharapkan yaitu sistem dapat menampilkan virtual tour pada wisata talang siring untuk meningkatkan daya tarik wisatawan.Kata kunci : Mdlc, Talang Siring, Virtual Tour, Wisata Laut Madura
IJTIHAD AS A METHOD OF LEGAL DISCOVERY IN THE ISLAMIC LEGAL SYSTEM
Authors: Tamsir Siti Nashrah Binti , Kafabihi Mohammad , Zaini Zaini
Published: December 2023

Although the existence of the Qur'an and Al-Hadith is an authentic source and the basis of law in Islam, this does not close the role of Muslim intellectuals in exploring and establishing the laws needed to solve all problems in the lives of Muslims. Especially on new problems along with the development of science and technology. This research uses the method of literature law by analyzing the legal status of Ijtihad based on literature sources in Islamic legal science. The result obtained in this study is that one of the legal products that can be a source of law in Islam is through the mechanism of Ijtihad as a solution to legal problems in society. Ijtihad is an Islamic appreciation and recognition of the existence of the human mind in solving all problems, one of which is related to Islamic law.
Laboratory Experiments Qualify Bit Influence on High-Frequency Torsional Oscillations
Authors: Carpenter Chris
Published: December 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 212566, “Qualifying Bit Influence on High-Frequency Torsional Oscillations Based on Full-Scale Laboratory Experiments,” by Armin Kueck, Eliah Everhard, and Xu Huang, Baker Hughes, et al. The paper has not been peer reviewed.

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High-frequency torsional oscillations (HFTOs) generate dynamic loads that can damage drilling tools, resulting in cracks, twistoffs, or broken electronics. Recently, a full-scale drilling test rig was proven to generate verified HFTO behavior under laboratory conditions. This rig allows for a comprehensive study of the influences of bit characteristics on HFTO. The complete paper presents methods to qualify bit features to suppress HFTO.

Laboratory Rig Setup

Test-Rig Design. The full-scale laboratory test rig drills rocks in a pressurized rock chamber. Rate of penetration (ROP), weight on bit (WOB), rotational speed, pressure, bit type, and rock type can be varied. The simulator consists of an open-loop mud-circulation system with capacity for 200 bbl of fluid, two 1,000-hp triplex pumps capable of up to 500 gal/min, a hoisting mechanism for raising and loading the drillstring up to 10,000 lbf, a 1,000-hp rotary drive capable of up to 10,000 ft-lbf, and a pressure vessel rated to 10,000 psi.

High-frequency measurement instrumentation, including in-bit vibration sensors, records the tangential accelerations and dynamic torque at various positions in the BHA. The mounted device can be seen in the top left photo in Fig. 1.

Measurement. To initially characterize the frequency response of the system, an impact test was performed on the system in a suspended nonoperating state with roving accelerometers (sensors) positioned as indicated by the blue lines in Fig. 1. Also indicated are the free-end and fixed-end boundary conditions at the bit (left) and drive (right), respectively, as well as the point of reference impact. The data from each pair of sensors are then processed to separate the torsional motions from lateral.

Because HFTO is a self-excited vibration, it must be validated that this type of vibration is actually excited in the laboratory setup. To demonstrate that the excitation mechanism is representative for the field, one of the test results was used as a reference. A laboratory investigation showed that the measured vibration matches characteristics of self-excited vibrations. Investigations in the laboratory will, therefore, lead to valid solutions in the field.
The therapeutically actionable long non-coding RNA ‘T-RECS’ is essential to cancer cells’ survival in NRAS/MAPK-driven melanoma
Authors: Feichtenschlager Valentin , Chen Linan , Zheng Yixuan James , Ho Wilson , Sanlorenzo Martina , Vujic Igor , Fewings Eleanor , Lee Albert , Chen Christopher , Callanan Ciara , Lin Kevin , Qu Tiange , Hohlova Dasha , Vujic Marin , Hwang Yeonjoo , Lai Kevin , Chen Stephanie , Nguyen Thuan , Muñoz Denise P , Kohwi Yoshinori , Posch Christian , Daud Adil , Rappersberger Klemens , Kohwi-Shigematsu Terumi , Coppé Jean-Philippe , Ortiz-Urda Susana
Published: December 2023

Finding effective therapeutic targets to treat NRAS-mutated melanoma remains a challenge. Long non-coding RNAs (lncRNAs) recently emerged as essential regulators of tumorigenesis. Using a discovery approach combining experimental models and unbiased computational analysis complemented by validation in patient biospecimens, we identified a nuclear-enriched lncRNA (AC004540.4) that is upregulated in NRAS/MAPK-dependent melanoma, and that we named T-RECS. Considering potential innovative treatment strategies, we designed antisense oligonucleotides (ASOs) to target T-RECS. T-RECS ASOs reduced the growth of melanoma cells and induced apoptotic cell death, while having minimal impacton normal primary melanocytes. Mechanistically, treatment with T-RECS ASOs downregulated the activity of pro-survival kinases and reduced the protein stability of hnRNPA2/B1, a pro-oncogenic regulator of MAPK signaling. Using patient- and cell line- derived tumor xenograft mouse models, we demonstrated that systemic treatment with T-RECS ASOs significantly suppressed the growth of melanoma tumors, with no noticeable toxicity. ASO-mediated T-RECS inhibition represents a promising RNA-targeting approach to improve the outcome of MAPK pathway-activated melanoma.
How family precepts delivered enduring prosperity to merchants in early-modern Japan: A microeconomic perspective
Authors: Sasaki Katsuro , Ono-Yoshida Rie
Published: December 2023

Wealthy merchants in the Edo period often subscribed to the ideology emphasizing "family survival" as their management goal and, accordingly, set down family precepts summarizing business principles to pass on to their descendants. Existing studies on the management of long-lived companies, including the family precepts, have attempted to identify their reasons for longevity and apply the learning to modern corporate governance. However, there is little research on why and how the ideology originated due to the lack of historical evidence from those days. We use economic-model analysis to examine under what socioeconomic and other conditions the ideology and family precepts emerged and took root to address the issue. This study applies the finite-term overlapping generation model in economics and discusses how a merchant in each generation managed their inheritance to maximize their utility. The model assumes that wealthy merchants' utility depends on their consumption and progeny's utility. We introduce a new parameter representing the degree of empathy the predecessor has toward their successor. Our result suggests that this new parameter and merchants' expected duration of their business were vital in determining the extent of a merchant family's prosperity. In conclusion, if wealthy merchants establish family precepts emphasizing "family survival" and a commitment to simplicity and frugality, and steadily pass them on to their descendants, the family will last long and prosper. Our results reinforce prior findings that family precepts had a significant role in the family's survival and the development of its human resources.

JEL Classification N85・D90
Severe obesity may be an oligogenic condition: evidence from 1,714 adults seeking treatment in the UK National Health Service.
Authors: Almansoori Sumaya , Amin Hasnat A , Alsters Suzanne I. , Handley Dale , Yiorkas Andrianos , Hashim Nikman , Ramzi Nurul , Bonanomi Gianluca , Small Peter , Purkayastha Sanjay , Haelst Mieke , Walters Robin , Roux Carel Le , Chahal Harvinder , Drenos Fotios , Blakemore Alexandra
Published: December 2023

Severe (class III) obesity is a chronic, relapsing condition, with a high burden of co-morbidity and mortality. Previous evidence has established genetics as an important contributing factor. We therefore designed a custom genotyping array to screen a cohort of UK patients seeking treatment for severe obesity. 1,714 participants were genotyped using a custom AXIOM array, focusing on rare (minor allele frequency < 0.01) variants, with CADD-PHRED ≥ 15 in 78 genes known/suspected to cause Mendelian forms of obesity. Concordance analyses of 22 duplicate samples and 66 samples with whole exome sequence data revealed good genotyping reliability. We identified the proportion of study participants who carried, or were homozygous for, rare, predicted-deleterious variants in genes with dominant and recessive modes of inheritance (MOI), respectively. 27% of patients carried relevant mutations consistent with the expected MOI, which was very similar to the rate observed in the UKB 50K whole exome sequencing dataset. However, the clinical obesity cohort were more likely to carry two or more such variants, in separate genes, than UK Biobank participants (p = 0.018). In conclusion, our results provide evidence: that (i) custom genotyping arrays, used with improved algorithms can allow reliable, cost-effective screening for rare genetic variants; (ii) rare mutations in “obesity genes” may be at high prevalence among bariatric patients, as well as in the general population; and (iii) that severe obesity may have an oligogenic pattern of inheritance in some cases.
Improving intervention development and implementation using the Person-Based Approach (PBA) to co-participatory stakeholder engagement: a worked example of a behavioural intervention to improve asthma reviews in primary care
Authors: Santillo Marta , Morton Kate , Velthoven Michelle Helena Van , Yardley Lucy , Thomas Mike , Wang Kay , Ainsworth Ben , Tonkin-Crine Sarah
Published: December 2023

Backgrounds: New interventions need to fit with existing ways of working in primary care. The Person-Based Approach (PBA) is a way to tailor interventions to context and stakeholder engagement can be a more or lesser part of this approach. Using co-participatory stakeholder engagement, as part of the PBA, provides a novel way to involve clinicians and PPI representatives in intervention development to maximise the acceptability and fine tune implementation of the intervention.
Methods: A behavioural intervention was developed using the PBA, emphasizing co-participatory stakeholder engagement of clinicians and PPI contributors. We developed an online intervention to support the use of a Fractional Exhaled Nitric Oxide (FeNO) test to guide clinical decisions during routine asthma reviews in primary care. Decisions about intervention planning and development were made through regular meetings and interactions with patients with asthma and primary care clinicians using the intervention.
Results: A varied group of stakeholders were involved, including GPs, practice nurses, clinical pharmacists, patients with asthma and academics in primary care and respiratory research. Including active stakeholder engagement throughout the intervention development process enabled better understanding of the context in which primary care asthma reviews happen, the specific needs of patients with asthma and clinicians conducting reviews and how to best meet these needs to increase the acceptability of the intervention and fit with practice. Stakeholder feedback also identified necessary changes to intervention materials, which would not have been identified by the research team alone.
Discussion: This working example provides insights on how stakeholder engagement complemented and strengthened research activities and provides a model for understanding how best to utilise the feedback received by stakeholders to maximise adoption of interventions and their implementation in practice.
Cross-ancestry and sex-stratified genome-wide association analyses of amygdala and subnucleus volumes
Authors: Yu Chunshui , Ji Yuan , Liu Nana , Yang Yunjun , Wang Meiyun , Chen Jingliang , Zhu Wenzhen , Qiu Shijun , Geng Zuojun , Cui Guangbin , Yu Yongqiang , Liao Weihua , Zhang Hui , Gao Bo , Xu Xiaojun , Han Tong , Yao Zhengwei , Zhang Quan , Qin Wen , Liu Feng , Liang Meng , Wang Sijia , Xu Qiang , Xu Jiayuan , Fu Jilian , Zhang Peng , Li Wei , Shi Dapeng , Wang Caihong , Lui Su , Yan Zhihan , Chen Feng , Zhang Jing , Shen Wen , Miao Yanwei , Wang Dawei , Gao Jia-Hong , Zhang Xiaochu , Xu Kai , Zuo Xi-Nian , Zhang Long Jiang , Ye Zhaoxiang , Li Mulin Jun , Xian Junfang , Zhang Bing , Consortia CHIMGEN
Published: December 2023

The amygdala is a small but critical multi-nucleus structure for emotion, cognition, and neuropsychiatric disorders. Although genetic associations with amygdala and subnucleus volumes have been investigated in sex-mixed European populations, cross-ancestry and sex-stratified analyses are still lacking. Here we conducted cross-ancestry and sex-stratified genome-wide association analyses for 21 amygdala volumetric traits in 6,923 Chinese and 48,634 European individuals. We identified 191 variant-trait associations (P < 2.38 × 10−9), including 47 new associations (12 new loci) in sex-mixed univariate analyses and seven additional new loci in sex-mixed and sex-stratified multivariate analyses. We identified 12 ancestry-specific and two sex-specific associations. The identified genetic variants include 16 fine-mapped causal variants and regulate amygdala and fetal brain gene expression. They are enriched for brain development and affect mood, cognition, and neuropsychiatric disorders. These results indicate that cross-ancestry and sex-stratified genetic association analyses may provide insight into the genetic architectures of amygdala and subnucleus volumes.
Identification a novel autophagy-related long non-coding RNA prognostic signature for pancreatic adenocarcinoma
Authors: Chen LuYao , Zhang YuFeng , Yin ShengAo , Liang ShuHan , Liu YaXing , Wu Dongkai , Shi XingSong , Qu GeXi , He Yuan
Published: December 2023

Pancreatic adenocarcinoma (PAAD) is one of the most common malignant tumors in the digestive system. At present, the prognosis and 5-year survival time are still unsatisfied. Autophagic genes have been demonstrated as a crucial factor in pancreatic cancer progression, we studied the potential prognostic value of autophagy associated long non-coding RNA (lncRNA) in patients with pancreatic cancer. In our research, we summarized five autophagy-related lncRNAs based on The Cancer Genome Atlas (TCGA) pancreatic cancer patient’s data. According to the prognostic lncRNAs, we established a prognostic risk signature and then divided all the patients into low-risk or high-risk groups based on their risk scores. The overall survival (OS) time in the high-risk group is shorter than low risk group (HR = 3.75, 95%CI: 2.45–5.73, p < 0.001). The autophagy-related lncRNA signature was an independent prognostic predictor with an AUC value of 0.694 (1 year) and 0.703 (5 year). Nomogram was constructed to predict the patients’ survival probabilities based on the risk scores. Gene set enrichment analysis was performed to detect the signaling pathway involved in the different groups, which revealed the related genes were markedly enriched in multiple signaling pathways in high or low- risk group. Moreover, we examined these lncRNAs expression in HPNE cells and three pancreatic cancer cell lines including Mia-PaCa-2, CFPAC-1 and Panc-1. In addition, the biological function between the high and low risk groups was significantly different. We also analyzed the relationship between the autophagy-related lncRNAs signature and pancreatic cancer infiltration lymphocytes via CIBERSORT method in this study. To summarize, the 5-autophagy related lncRNAs we screened in this study has prognostic capability for PAAD and may play a crucial role in pancreatic cancer biology progress.
On a Simulation-based Chatter Prediction System by Integrating Relative Entropy and Dynamic Cutting Force
Authors: vi trung kien , Luo Bo-Cheng , Wu Hsiang-Chiu , Wu Meng-Jie , Kao Yung Chou
Published: December 2023

This paper aims to develop a simulation-based chatter prediction system using relative entropy - Kullback-Leibler Divergence (KLD), and the NC program can be modified to become non-chatter. Chatter is one of the major concerns when machining mechanical components on a CNC machine. In general, the majority of the previous research methods achieved non-chatter stable machining by assigning the appropriate machining parameters: (1) spindle speed, (2) feed rate, and (3) depth of cut based on the generated SLD (Stability Lobe Diagram). Non-chatter stable machining can also be accomplished by manually adjusting the spindle override percentage on the operation panel or the values in the CNC controller via networking once chatter is detected during the machining processes. The creation of SLD must consider two essential parameters: cutting force coefficient (CFC) and frequency response function (FRF). The CFC can be obtained from cutting experiment data related to a paired tool and workpiece, and the FRF can be calculated from the tapping test experiment. Then, the CFC and FRF are stored in the database of the developed system. The simulation-based chatter prediction calculates the KLD value based on the relativity of the dynamic cutting force and the static cutting forces so as to predict whether there is chatter in the NC program or not. The NC program can be adjusted to become non-chatter if there is chatter predicted. The proposed method has been successfully verified through on-site machining, showing very promising achievement.
Enhanced Channel Estimation for RIS-assisted OTFS Systems by Introducing ELM Network
Authors: Qing Chaojin , Liu Zhiying , Wang Li , Ling Guowei , Hu Wenquan , Cai Xi , Lin Hui
Published: December 2023

In high-mobility communication scenarios, leveraging reconfigurable intelligent surfaces (RIS) to assist orthogonal time frequency space (OTFS) systems proves advantageous. However, the integration of RIS into OTFS systems has added complexity to the channel estimation (CE). Utilizing the benefits of machine learning (ML) to address such intricate issues holds the potential to reduce the complexity of CE. Yet, there is a lack of investigations of ML-based CE in RIS-assisted OTFS systems, leaving significant blanks and posing challenges for intelligent applications. Additionally, ML-based CE still faces numerous difficulties, such as intricate parameter tuning and long training time. Inspired by the inherent advantages of the single-hidden layer feed-forward network structure, we introduce extreme learning machine (ELM) into RIS-assisted OTFS systems to improve their CE accuracy. In this method, we integrate a threshold-based approach to extract initial feature, aiming to remedy the inherent limitations of ELM network, such as inadequate network parameters compared to the deep learning network. This initial feature is then leveraged to enhance ELM learning ability, leading to improved CE accuracy. By using the classic message passing algorithm to detect data symbols, simulation results demonstrate that the proposed method efficiently improves the symbol detection (SD) performance of RIS-assisted OTFS systems. Furthermore, the SD performance is robust against the impacts of the parameter variations.
Effect of concentration and functional group of cellulose nanocrystals on the rheological and filtration properties of water- based drilling fluids at various temperatures
Authors: Peng Jianghao , Zhang Hehai , Li Xinliang , Fang Shenwen , Duan Ming , Wan Liqiong
Published: December 2023

Cellulose nanocrystals (CNCs) have great application potential as environmentally friendly and multifunctional additives in drilling fluids. But their practical performance and utilization principles still need to further clarify. This paper investigated the effectiveness of two kinds of typical CNCs, including carboxylated cellulose nanocrystals (C-CNC) and sulfonated cellulose nanocrystals (S-CNC), on the rheological and filtration properties of water-based drilling fluids (WBDFs) under different concentrations. The results indicated that at room temperature, 150℃, and 180℃, both of C-CNC and S-CNC could be used as rheology modifiers for bentonite WBDFs, and 1.0% of C-CNC performed the best outstanding viscosity-increasing effect and shear-thinning behavior. The fitting results of rheological models showed that all of the samples are closest to the Hersche-Bulkley model. Under room temperature and 150℃, C-CNC and S-CNC with higher concentrations (1.0%) had a better fluid loss reduction effect. However, at 180℃, C-CNC and S-CNC with lower concentration (0.5%) showed superior filtration property, while 1.0% of C-CNC and S-CNC unexpectedly increased the fluid loss. In the whole, C-CNC performed better properties in rheological modification and fluid loss reduction than S-CNC. Microstructure analysis demonstrated the dispersion stability of C-CNC was better, and these nanoparticles easily adsorbed onto bentonite and exhibited strong gel formation capacity. The addition of CNCs with high concentrations was beneficial for decreasing the zeta potential of WBDFs and improving their colloidal stability at 150℃, while it would produce adverse influence when the temperature was raised to 180℃. It was referred that the stiff network among bentonite, CNCs, and immobilized water molecules was destroyed to varying degrees after aging at high temperatures. Especially when a higher concentration of CNC existed, CNCs particles were greatly easier to attract each other, agglomerate, and form many permeation channel, thereby resulting in decrease of the viscosity and increase of the fluid loss. Therefore, it was suggested that the use of CNCs should be determined according to their characteristics, formation temperature, and other actual operation conditions.
Machine Learning Approach to Predict Cardiovascular Disease in Bangladesh: Evidence from a Cross-Sectional Study in 2023.
Authors: Hossain Sorif , Hasan Mohammad Kamrul , Faruk Mohammad Omar , Aktar Nelufa , Hossain Riyadh , Hossain Kabir
Published: December 2023

Background
Cardiovascular disorders (CVDs) are widely considered the leading cause of death worldwide. Lower and middle-income countries (LMICs) like Bangladesh are also affected by several types of CVDs such as heart failure and stroke. The leading factors of death in Bangladesh have increasingly switched from severe infections and parasitic illness to CVDs recently.
Materials and methods
The study dataset is a random sample of the 391 CVD patients' medical records collected between August 2022 and April 2023 using simple random sampling. Moreover, 260 data are also collected from individuals with no CVD problem for comparison purposes. Crosstabs and chi-square are used to find the association between CVD and explanatory variables. Logistic regression, Naïve Bayes classifier, Decision Tree, AdaBoost classifier, Random Forest, Bagging Tree, and Ensemble learning classifiers are used to predict CVD in this study. The performance evaluations encompassed accuracy, sensitivity, specificity, and the area under the receiver operator characteristic (AU-ROC) curve.
Result
Random Forest has the highest precision among the five techniques considered. The precision rates for the mentioned classifiers are as follows: Logistic Regression (93.67%), Naïve Bayes (94.87%), Decision Tree (96.1%), AdaBoost (94.94%), Random Forest (96.15%), and Bagging Tree (94.87%). The Random Forest classifier maintains the highest balance between correct and incorrect predictions. With 98.04% accuracy, the Random Forest Classifier achieves the best precision (96.15%), robust recall (100%), and a high F1 score (97.7%). In contrast, the Logistic Regression model achieves the lowest accuracy at 95.42%. Remarkably, the Random Forest classifier attains the highest AUC value (0.989).
Conclusion
This research is mainly focused on identifying factors that are critical in impacting CVD patients and predicting CVD risk. It is strongly advised that the Random Forest technique be implemented in the system for predicting cardiac disease. This research may change clinical practice by giving doctors a new instrument to determine a patient's prognosis for CVD.
Impact of COVID-19 on posttraumatic stress disorder in ICU survivors: a prospective observational comparative cohort study
Authors: Kalfon Pierre , El-Hage Wissam , Geantot Marie-Agnès , Favier Constance , Bodet-Cotentin Laetitia , Kuteifan Khaldoun , Olivier Pierre-Yves , Thévenin Didier , Pottecher Julien , Crozon-Clauzel Jullien , Mauchien Bénédicte , Galbois Arnaud , De Varax Roland , Valera Sabine , Estagnasie Philippe , Berric Audrey , Nyunga Martine , Revel Nathalie , Simon Georges , Kowalski Benjamin , Sossou Achille , Signouret Thomas , Leone Marc , Delalé Charles , Seeman Aurélien , Lasocki Sigismond , Quenot Jean-Pierre , Monsel Antoine , Michel Olivier , Page Mathieu , Patrigeon René-Gilles , Nicola Walid , Thille Arnaud W. , Hekimian Guillaume , Auquier Pascal , Baumstarck Karine
Published: December 2023

Background: Posttraumatic stress disorder (PTSD) after a stay in the intensive care unit (ICU) can affect one in five ICU survivors. At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, admission to the ICU for COVID-19 was stressful due to the severity of this disease. This study assessed whether admission to the ICU for COVID-19 was associated with a higher prevalence of PTSD compared with other causes of ICU admission after adjustment for pre-ICU psychological factors.
Methods: This prospective observational comparative cohort study included 31 ICUs. Eligible patients were adult ICU survivors hospitalized during the first wave of COVID-19 pandemic in France, regardless of the reason for admission. The prevalence of substantial PTSD symptoms at 6 months was assessed using the PTSD Checklist for DSM-5 (PCL-5). Sociodemographics, clinical data, history of childhood trauma (Childhood Trauma Questionnaire [CTQ]), and exposure to potentially traumatic events (Life Events Checklist for DSM-5 [LEC-5]) were assessed.
Results: Of the 778 ICU survivors with COVID-19, 417 were assigned to the COVID-19 cohort patients in the COVID-19 and non-COVID-19 cohorts, respectively. Fourteen (4.9%) and 11 (4.9%), respectively, presented with presumptive diagnosis of PTSD at 6 months (p = 0.976). After adjusting for age, sex, severity score at admission, use of invasive mechanical ventilation, ICU duration, CTQ and LEC-5, COVID-19 status was not associated with presumptive diagnosis of PTSD using the PCL-5. Only female sex was associated with presumptive diagnosis of PTSD. However, COVID-19 patients reported significantly more intrusion and avoidance symptoms than non-COVID patients (39% vs. 29%, p = 0.015 and 27% vs. 19%, p = 0.030), respectively. The median PCL-5 score was higher in the COVID-19 than non-COVID-19 cohort (9 [3, 20] vs. 4 [2, 16], p = 0.034).
Conclusion: Admission to the ICU for COVID-19 was not associated with a higher prevalence of PTSD compared with admission for another cause during the first wave of the COVID-19 pandemic in France.
Trial Registration: Clinicaltrials.gov Identifier NCT03991611, registered on June19, 2019
“Do I feel safe here?” Organisational climate and mental health peer support worker experience
Authors: Reeves Verity , Loughhead Mark , Halpin Matthew , Procter Nicholas
Published: December 2023

Background
In Australia, lived experience peer support workforces are expanding making it one of the fastest growing emerging disciplines in transdisciplinary mental health settings. This article provides insight for organisations on the contextual realities peer workers face, increases understanding of peer support services to improve service delivery environments and contribute to mental health systems reform. This study aimed to qualitatively explore peer support workers experience integrating into and working within transdisciplinary mental health service teams.
Method
Semi-structured interviews were undertaken with 18 peer support workers currently working in mental health services in Australia. The research was a qualitative descriptive study design. All data collected were analysed utilising thematic analysis.
Results
Peer workers found their experience in the workplace was influenced by their colleagues and the organisations understanding of the peer support role. Factors relating to organisational culture and climate were a central theme throughout discussions noting that a negative climate was perceived as harmful to peer workers. Influences between positive and negative experiences by peer workers included the role of leadership, attitudes and behaviours of colleagues, provision of psychologically safe environments, the organisations messaging and use of language and organisational structures and policy.
Conclusion
This study contributes to evidence for the impact of organisational culture on integrating and supporting peer support workers in mental health service delivery. This study provides insights into peer worker experiences of the workforce, highlighting positive and negative impacts of organisational culture and climate on acceptance and integration of peer support roles in transdisciplinary settings.