bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discovery and Identification of Candidate Genes, Diagnostic Model and Drug Predictions for Schizophrenia and Crohn's Disease Through Integrated Bioinformatics Analysis and Machine Learning
Authors: Feng Yu , Shen Jing 
Published: December 2022

Abstract
Background
Both schizophrenia and Crohn's disease are linked to the expression of immunological and metabolic abnormalities. The objective of this research is to find appropriate diagnostic candidate genes for patients with schizophrenia and Crohn's disease as well as the appropriate medications.
Methodology:
The datasets were retrieved from the Gene Expression Omnibus (GEO) database for schizophrenia and Crohn's disease. Differentially expressed genes (DEGs) were identified using the Limma package and weighted gene co-expression network analysis (WGCNA). The function enrichment analysis was conducted, followed by machine learning-based identification of candidate immune-related central genes for least absolute shrinkage and selection operators (LASSO) regression and construction of protein-protein interaction (PPI) network. The random forest method was used to identify candidate genes and establish artificial neural networks for the verification of these genes. And for the diagnosis of schizophrenia, the receiver operating characteristic (ROC) curve was plotted. The Enrichr database was then used to collect pertinent drugs that are related to candidate genes.
Results
A total of 2681 DEGs and 210 Crohn's disease-related genes were screened out in schizophrenia. Among the schizophrenia and Crohn's disease-related genes, about 35 genes depicted differential expression. Finally, seven potential genes were screened out using the PPI network and machine learning. The diagnostic value was evaluated using the ROC curve data. These findings suggest that the diagnostic value of these candidate genes is high. Valproic acid and other related drugs were collected from the enrichr database.
Conclusion
The identification of seven candidate gene models (CAP1, INSIG1, MSMO1, PHLDA2, PSMB6, TBC1D2, UBA5) has high diagnostic value, and valproic acid and other drugs may become candidate drugs for patients with schizophrenia, providing effective evidence for the pathogenesis and treatment.
RETRACTED: Wear Mechanism and Material Deposition of High Strength Polymers for Hydrogen Compression
Authors: WINKELMANN H. , PÖLLINGER A. , BERNARDI J. , WHITMORE K. , SCHWARZ S. , KRENN S. , SEICHTER S. , SCHOEBEL M. 
Published: December 2022

Abstract
The authors have requested that this preprint be removed from Research Square.
A facile approach towards Hierarchical Zeolite Y Synthesis from Inexpensive Precursor
Authors: Usman R. A. , Kovo A. S. , Abdulkareem A. S. , Garba M. U. 
Published: December 2022

Abstract
Microporous zeolite is one of the most utilized heterogeneous catalyst in many chemical reactions in process industries. It has a unique selectivity property, stability in high thermal reaction and porosity to enhance chemical reaction. The micropore associated with the conventional zeolites poses some constrains in reaction involving bulky reactant thereby causing deactivation of zeolite catalyst. Therefore, to overcome this constrain, a hierarchical structured zeolite catalytic material was proposed as it is known to have pores of difference dimensions which can overcome inaccessibility experienced in the smaller pore zeolites. In this work, a hierarchical zeolite Y catalyst was synthesized using a poorly crystalline inexpensive Aloji Kaolin from Nigeria as an aluminosilicate material through a facile modified Top down approach in which the zeolite Y was initially prepared from the kaolin via hydrothermal method and then followed by desilication using mild solution of sodium hydroxide. The synthesized hierarchical zeolite Y was characterized with the aid of powder X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), high resolution transmission electron microscopy (HRTEM), Brunauer-Emmett-Teller (BET) analysis. The synthesized hierarchical Y has crystallite size of 35.67nm, surface area of 18.1114m2/g, pore size 50.676Å, and pore volume 0. 23178cm3/g.
The Interactive Effects of Extreme Temperatures and PM2.5 Pollution on Mortalities in Jiangsu Province, China
Authors: Zhou Lian , Wang Yuning , Wang Qingqing , Ding Zhen , Jin Hui , Zhang Ting , Zhu Baoli 
Published: December 2022

AbstractBackground Exposure to either extreme temperatures or fine particles (PM2.5) is associated with adverse health outcomes but their interactive effects remain unclear. Here, we aimed to explore the interactions of extreme air temperatures and PM2.5pollution on total and cause-specific mortalities. Methods Based on the daily mortality data collected between 2015 and 2019 in Jiangsu Province, China, we conducted generalized linear models to estimate the regional-level independent effects of cold/hot extremes and PM2.5pollution. We further evaluated the relative excess risk due to interaction (RERI) to represent the combined effects. We estimated the joint effects with different extreme temperatures and PM2.5pollution cutoffs. Results The relative risks (RRs) of total and cause-specific mortality associated with hot extremes were significantly stronger (p < 0.05) than those related to cold extremes across three regions in Jiangsu; the associations with cold extremes were less consistent. We identified significantly higher interactions (p < 0.05) between hot extremes and PM2.5pollution than those between cold extremes and PM2.5pollution, with RERIs ranging between 0.00 and 1.15 in hot seasons. The joint effects peaked on ischaemic heart disease (RERI = 1.13 [95%CI: 0.85, 1.41]) in middle Jiangsu. For respiratory mortality, RERIs were higher in females and in the less educated. The interaction pattern remained consistent when defining the extremes/pollution with different thresholds. Conclusion This study provides a comprehensive picture of the interactions between extreme temperature events and PM2.5pollution on total and cause-specific mortalities. The projected interactions call for coordinated policies and public health actions to face the twin challenges, especially the co-appearance of hot extremes and PM pollution.
The Portrait of Challenges in Teaching English to Young Learners: A Case Study in an Indonesian Islamic School
Authors: Pertiwi Canda Ayu Arum , Mustofa Mutmainnah , Ubaidillah M Faruq , Hariyanto Sugeng 
Published: December 2022

<em>Teaching English to students with no prior knowledge, a different first language, and varied characters is challenging. This research is a case study design that focused on the teachers’ perceptions of teaching English to young learners situated in one of the Islamic schools in Malang, Indonesia. The participants involved were six English teachers at the chosen school. A qualitative approach was employed in this study. Data were generated through interviews. Findings suggest that the participating teachers encountered multiple challenges in their teaching enactment, such as (1) non-English prior knowledge, (2) lack of motivation, (3) negative perceptions of the English language, (4) time constraints for studying English, (5) insufficient teaching and learning devices, (6) messy classroom conditions, and (7) speaking anxiety. With some help from others, teachers’ creativity, and some collaborations with other teachers, the teaching and learning process can run conditionally.</em>
Research on precipitation prediction based on a complete ensemble empirical mode decomposition with adaptive noise–long short-term memory coupled model
Authors: Guo Shaolei , Wen Yihao , Zhang Xianqi , Zhu Guoyu , Huang Jiafeng 
Published: December 2022

Abstract
Scientific precipitation predicting is of great value and guidance to regional water resources development and utilization, agricultural production, and drought and flood control. Precipitation is a nonlinear, non-smooth time series with significant stochasticity and uncertainty. In this paper, a complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) with long short-term memory (LSTM) model is developed for predicting annual precipitation in Zhengzhou city, China, which is compared with a single LSTM model, an ensemble empirical mode decomposition–LSTM model, a complementary ensemble empirical mode decomposition–LSTM model, and a CEEMDAN–autoregressive integrated moving average and a CEEMDAN–recurrent neural network model. The results show that the mean absolute percentage error, root mean square error, and coefficient of determination of the coupled CEEMDAN–LSTM model are 2.69%, 17.37 mm, and 0.9863, respectively. The prediction accuracy is significantly higher than that of the other five models, indicating that the proposed model has high prediction accuracy and can be used for annual precipitation forecasting in Zhengzhou city.
Poaceae Chloroplast Genome Sequencing: Great Leap Forward in Recent Ten Years
Authors: Li Jianhua , Hu Yiyu , Sun Yanqing , Zhu Qian-Hao , Fan Longjiang 
Published: December 2022

Abstract:The first complete chloroplast genome of rice (Oryza sativa) was published in 1989, ushering in a new era of studies of chloroplast genomics in Poaceae. Progresses in Next-Generation Sequencing (NGS) and Third-Generation Sequencing (TGS) technologiesand in the development of genome assembly software, have significantly advanced chloroplast genomics research. Poaceae is one of the most targeted families in chloroplast genome research because of its agricultural, ecological, and economic importance. Over the last 30 years, 2,050 complete chloroplast genome sequences from 40 tribes and 282 genera have been generated, most (97%) of them in the recent ten years. The wealth of data provides the groundwork for studies on species evolution, phylogeny, genetic transformation, and other aspects of Poaceae chloroplast genomes. As a result, we have gained a deeper understanding of the properties of Poaceae chloroplast genomes. Here, we summarize the achievements of the studies of the Poaceae chloroplast genomes and envision the challenges for moving the area ahead.
Recent Developments in Tacrine-based Hybrids as a Therapeutic Option
for Alzheimer’s Disease
Authors: Yamali Cem , Donmez Seyda 
Published: December 2022

Abstract:
Alzheimer's disease (AD) is a multifactorial, irreversible, and age-related neurodegenerative disorder among the elderly. AD attracts attention due to its complex pathogenesis, morbidity and mortality rates, and the limitations of drugs used in the treatment of AD. Cholinesterase inhibitors and N-methyl-D-aspartate (NMDA) receptor antagonists are used in the clinic. While tacrine, donepezil, galantamine, and rivastigmine are cholinesterase inhibitors, memantine is a non-competitive NMDA receptor antagonist. However, these drugs could not delay the progress of AD. The traditional clinical approach, the one drug-one target concept, is not entirely effective in the treatment of AD. Also, it is urgent to develop potent and novel anti-AD drugs by the design concept of multi-target directed ligands (MTDLs) which combine pharmacophores interacting with different pathways in AD. This article provides an overview of the noteworthy structural modifications made to tacrine to develop novel candidates for anti-Alzheimer drugs. Due to the complex pathology of AD, multi-functional tacrine-based ligands targeting different hallmarks, β-amyloid, tau protein, N-methyl-D-aspartate receptor, cholinesterases, monoamine oxidases, secretases, have been studied. Here, tacrine-based derivatives including heterocyclic structures such as dihydroxypyridine, chromene, coumarin, pyrazole, triazole, tetrahydroquinolone, dipicolylamine, arylisoxazole were reported with promising anti-AD effects compared to tacrine. In vitro and in vivo assays showed that new tacrine-based hybrids, which are selective, neuroprotective, and non-hepatotoxic, might be considered as remarkable anti-AD drug candidates for further clinical studies.
Bantuan Teknis Pembuatan Kolam Ikan Untuk Budidaya Aquaponik Di Desa Jenggala Kabupaten Lombok Utara
Authors: Sumiadi Sumiadi , Wahyuni Sri , Sisinggih Dian 
Published: December 2022

Yayasan Fikri Cendekia Insani yang berlokasi di Desa Jenggala, Kecamatan Tanjung, Kabupaten Lombok Utara bergerak di bidang sosial, pedidikan dan keagamaan. Di bidang Pendidikan, Yayasan Fikri Cendekia Insani mendirikan Pendidikan Anak Usia Dini (PAUD) yang menampung anak-anak di sekitar yayasan berusia 3 sampai 6 tahun. Sedangkan di bidang keagamaan, Yayasan mengadakan kegiatan kajian keagamaan secara rutin tiap pekan dengan memanfaatkan Masjid Nurul Islam. Untuk menambah asupan gizi berupa ikan air tawar dan sayur yang berkualitas ke murid-murid PAUD di Yayasan Fikri Cendekia Insani sekaligus memperkenalkan teknik budidaya ikan dan sayur sekaligus maka perlu dilakukan kegiatan Bantuan Teknis Pembuatan Kolam Ikan dan Instalasinya Untuk Budidaya Aquaponik di lokasi yayasan.
Studi Evaluasi Kelayakan Pengembangan Listrik Mikrohidro/PLTMH dan Surya/SHS Untuk Ketahanan Energi Listrik Desa
Authors: Utomo Teguh , Shidiq Mahfudz , Hasanah Rini Nur 
Published: December 2022

Studi Kelayakan Pengembangan adalah studi yang perlu dilakukan oleh stake holder energi terbarukan untuk menentukan kelayakan POC (Point of Conection) Pembangkit Listrik Energi Terbarukan untuk dikembangkan ke Sistem Distribusi PLN setempat berdasarkan standarisasi peralatannya, baik pada bangunan sispil, mekanikal dan elektrikal. Studi ini untuk mengidentifikasi dampak negative usulan penyambungan energi listrik mikrohidro/PLTMH maupun SHS/PLTS terhadap Sistem Distribusi PLN setempat dan melakukannya langkah langkah pencegahan terhadap dampak yang merugikan tersebut. Sebagai wilayah studi telah dipilih desa Andungbiru, kecamatan Tiris, Kabupaten Probolinggo Jawa Timur mengingat sejak tahun 2010 desa ini merupakan salah satu dari 12 desa/wilayah binaan Fakultas Teknik Universitas Brawijaya. Permasalahannya adalah pembangkit-pembangkit yang ada saat ini tidak tertangani/ terkelola dengan baik oleh karena bekerja secara sendiri-sendiri (off grid), beroperasi secara terbatas serta kurang memenuhi persyaratan teknis pembangkitan listrik yang ditandai dengan rugi daya dan jatuh tegangan saluran yang tinggi serta peralatan yang tidak memenuhi standarisasi PLN. Hal ini jauh dari harapan para stake holder oleh karena pengusahaan dan pengelolaan energi harus dilakukan secara professional, rugi daya saluran rendah serta tidak terjadi drop tegangan yang cukup tinggi pada ujung beban. Karenanya, tujuan khusus yang ingin dicapai dari riset desa ini dan urgensinya adalah (1). Mengembangkan potensi dan pemanfaatan SDE dari air/PLTMH dan surya/SHS di desa lokasi penelitian agar terkelola dengan baik dan menjadi alternatif sumber energi listrik utama bagi semua warga yang memerlukannya (2). Meningkatkan infrastuktur pendukung energi listrik berdasarkan studi evaluasi/kajian kelayakan sehingga pengusahaan dan pengelolaan energi listrik PLTMH dan SHS dapat dilakukan secara professional, memenuhi persyaratan teknis pembangkitan baik dalam kondisi on grid maupun off grid serta (3). DepartemenTeknik Elektro Fakultas Teknik Universitas Brawijaya (DTE FT UB) telah melaksanakan kegiatan MBKM dan juga CDP bagi mahasiswa sehingga dengan keterlibatan JTE diharapkan menghasilkan draft penelitian/skripsi mahasiswa yang terlibat, keterlibatan mahasiswa dalam riset juga terganjar/ternilai pada kesetaraan mata kuliah yang diambil dan mahasiswa berperan aktif dalam penyelesaian persoalan energi listrik di desa Andungbiru.
A Web-Based Program About Sustainable Development Goals Focusing on Digital Learning, Digital Health Literacy, and Nutrition for Professional Development in Ethiopia and Rwanda: Development of a Pedagogical Method
Authors: Bälter Katarina , Javan Abraham Feben , Mutimukwe Chantal , Mugisha Reuben , Persson Osowski Christine , Bälter Olle 
Published: December 2022

Background
East African countries face significant societal challenges related to sustainable development goals but have limited resources to address these problems, including a shortage of nutrition experts and health care workers, limited access to physical and digital infrastructure, and a shortage of advanced educational programs and continuing professional development.

Objective
This study aimed to develop a web-based program for sustainable development with a focus on digital learning, digital health literacy, and child nutrition, targeting government officials and decision-makers at nongovernmental organizations (NGOs) in Ethiopia and Rwanda.

Methods
A web-based program—OneLearns (Online Education for Leaders in Nutrition and Sustainability)—uses a question-based learning methodology. This is a research-based pedagogical method developed within the open learning initiative at Carnegie Mellon University, United States. Participants were recruited during the fall of 2020 from ministries of health, education, and agriculture and NGOs that have public health, nutrition, and education in their missions. The program was conducted during the spring of 2021.

Results
Of the 70 applicants, 25 (36%) were selected and remained active throughout the entire program and filled out a pre- and postassessment questionnaire. After the program, of the 25 applicants, 20 (80%, 95% CI 64%-96%) participants reported that their capacity to drive change related to the sustainable development goals as well as child nutrition in their organizations had increased to large extent or to a very large extent. Furthermore, 17 (68%, 95% CI 50%-86%) and 18 (72%, 95% CI 54%-90%) participants reported that their capacity to drive change related to digital health literacy and digital learning had increased to a large extent and to a very large extent, respectively.

Conclusions
Digital learning based on a question-based learning methodology was perceived as a useful method for increasing the capacity to drive change regarding sustainable development among government officials and decision-makers at NGOs in Ethiopia and Rwanda.
Analisis kualitas search engine sebagai media pembelajaran online di perpustakaan perguruan tinggi di Bali
Authors: Suhartika I Putu , Haryanti Ni Putu Premierita 
Published: December 2022

Introduction. Previous research on the quality of search engines through a combination of three supporting theories is limited. This research which used the three theories aims to measure the quality of search engines based on user perceptions, utilization, and recall and precision values. The three supporting theories include recall and precision analysis, TAM (Technology Acceptance Model) and WebQual.
Research methods. This study used a quantitative inferential method with questionnaires, observations, and online search.
Data analysis. This study used inferential statistical data analysis techniques which used to determine the relationships among research variables.
Results and discussion. Search engine Yahoo shows the highest recall value, while Google shows the highest precision value. The two search engine are well accepted and used frequently by users. The usability quality dimension has a significant effect on the utilization of Google and Yahoo, while the interaction quality dimension has no significant effect on those two search engines. Meanwhile, the dimension of information quality has a significant effect on Yahoo, however, it has no a significant effect on Google.
Conclusion and suggestions. The two search engines are accepted by user. They used as online learning media in universities to provide ease of use and support user interaction.
Potret analisis difusi inovasi dalam publikasi artikel ilmiah di Lentera Pustaka
Authors: Fuah Siti Mas , Ganggi Roro Isyawati Permata 
Published: December 2022

Introduction. The relationship between the diffusion of innovation and the scientific publication is in the process of scientific communication through media that records previous knowledge from research. The purpose of this study is to show stages of innovation adoption from the articles in one academic journal namely Lentera Pustaka.
Data Collection Methods. This study used qualitative research approach with descriptive analysis. Data collection techniques were conducted through observations, interviews, and document study. Informants were selected using a purposive sampling technique.
Data Analysis. We analysed the data by reducing, presenting, and drawing conclusions or verification.
Results and Discussion. Innovations or new ideas from articles that have been adopted and implemented, are key points. The stage of adopting innovations from scientific articles starts from the published findings, then the adopters produce new knowledge from pre-existing knowledge.
Conclusion. The stages of adoption of article innovation in Lentera Pustaka include knowledge, persuasion, decision making, implementation, and confirmation. The editorial board of Lentera Pustaka can ask eaders to participate in the survey related to the interests of proposed research topics. This research shows that articles in scientific journals can be a solution to scientific problems.
Isolasi Bakteri Selulolitik Asal Saluran Pencernaan Rayap Dan Daya Hidupnya Pada Berbagai Substrak Yang Berasal Dari Limbah Pertanian Dan Perkebunan
Authors: Susanti Vivi , Mairizal Mairizal , Yurleni Yurleni , Adriani Adriani , Manin Fahmida 
Published: December 2022

ABSTRACT
This study aimed to identify isolates that produce cellulase enzymes derived from cellulolytic bacteria from the digestive tract of termites and to determine the best type of substrate as the carrier and survival of these isolates. This research consists of 3 (three) stages. The first stage of research was the isolation of cellulolytic bacteria using descriptive data analysis. The second stage of research was to determine the best carrier for selected cellulolytic isolates, while the third stage was to determine the shelf life of the isolates with the selected substrate as the best carrier by analyzing data using analysis of variance. The results of the first phase of research obtained 3 isolates of cellulolytic bacteria from the best termite digestive tract based on the clear zone index test with isolate code VR52, VR61 and VR81 with clear zone index for each isolate 1.087; 2,250 and 1,710 mm. Based on Gram staining, the three isolates were gram-positive bacteria in the form of bacilli. Maximum enzyme activity in isolate VR61 (Bacillus sp) with its enzyme activity (19.91 µ/mL). The results of the second stage study showed that rice bran was the best sAubstrate based on total microbes with a value of 202 x 109 CFU / g. The results of the third stage research showed that the number of cellulolytic bacteria in the selected sub-extract (rice bran) at a storage temperature of 4oC (178.92 x 109 CFU / gr) was more than that of storage at 27oC (101.69 x 109 CFU / gr). This research concludes that the longer the storage time shows a decrease in the number of bacteria and pH in the sub-extract. The best interaction on rice bran sub-extract as a carrier at a storage temperature of 4oC in the second week with the number of cellulolytic bacteria 197.8 x 109 CFU / gr with a pH value of 6.46 and the fourth week of 167.85 x 109 CFU / gr with a pH value of 6.39.

Keywords: Cellulose, Cellulolytic Bacteria, Termites