bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis shooting dan passing terhadap akurasi tendangan pada tim U-19 Sheyfa Futsal Academy Kendal
Authors: Mahendra Bangkit Yusril , Irawan Fajar Awang , Prastiwi Tania Arlita Safitri , Trans Minh Nghia Le
Published: February 2023

Tujuan dari penelitian ini yaitu untuk mengetahui hasil analisis shooting dan passing terhadap akurasi tendangan pada tim U-19 Sheyfa Futsal Academy Kendal. Seluruh pemain U-19 putra Sheyfa Futsal Academy menjadi populasi dan sampel pada penelitian ini. Metode penelitian yang digunakan berupa Pilot Study karena hanya dilakukan pada satu pertandingan saja. Data diperoleh dengan cara melakukan analisis pada pertandingan trofeo yang dilaksanakan pada tanggal 22 Maret 2022 menggunakan scoresheet pada setiap pertandingan selama 2x20 menit. Data kemudian dianalisis menggunakan Microsoft Excel 2013 untuk diperoleh rata-rata dan persentase. Hasil penelitian menunjukkan bahwa shooting pemain kategori cukup sebesar 40% dengan total pemain pada kategori ini sebanyak 8 orang. Sedangkan 12 pemain lain berada pada kategori baik dengan persentase sebesar 60%. Tingkat keakuratan passing yang dihasilkan oleh sampel, yang berada pada kategori baik sebesar 45% dengan jumlah pemain sebanyak 9 orang. Sampel yang berhasil melakukan passing dengan kategori sangat baik berjumlah 11 orang dengan hasil persentase sebesar 55%. Peneletian yang akan datang, diharapkan dapat menggunakan sampel yang jumlahnya lebih besar serta membahas terkait hal-hal yang mempengaruhi tingkat akurasi Â passing dan shooting.Â Â Â Analysis of shooting and passing on kick accuracy in the U-19 Sheyfa Futsal Academy Kendal teamAbstract: The purpose of this study was to determine the results of shooting and passing on kick accuracy on the u-19 team at Sheyfa Futsal Academy Kendal. All male U-19 players of Sheyfa Futsal Academy became the population and sample in this study. The research method used is descriptive quantitative. The data was obtained by analyzing the Trofeo match, which was held on March 22, 2022, using a scoresheet in each match for 2x20 minutes. The data was then analyzed using Microsoft Excel 2013 to obtain the average and percentage. The results showed that the shooting category of players was sufficient by 40%, with a total of 8 players in this category. While the other 12 players are in the good category with a percentage of 60%. The level of accuracy passing produced by the sample, which is in the good category, is 45% with a total of 9 players. The sample who succeeded in passing in the very good category was 11 people with a percentage result of 55%. Future research is expected to be able to discuss matters that affect the level of accuracy of passing and shooting.
Tuning Database Pada Sistem Penerimaan Mahasiswa Baru Menggunakan Optimasi Query dan Indexing
Authors: Deska Amat , Akbar Ipal , Samidi -
Published: February 2023

Dalam pengoperasian database MaraiaDB diperlukan aplikasi berupa server localhost yang memiliki response waktu untuk menjalankan sebuah query agar dapat mendapatkan waktu yang efisiensi. Pada penelitian ini mengukur perfoma query dalam bentuk SELECT pada database MariaDB yang sudah di install pada komputer atau laptop dengan menggunakan aplikasi yang bernama Xammp dengan jumlah record data kurang lebih sebanyak 12.000 data, tapi pada penelitian ini hanya memakai sekitar 5000 data. Data tersebut nantinya akan dilakukan optimasi query dan indexing. Permasalahan yang terjadi adalah lamanya proses pengambilan data yang membutuhkan waktu sehingga membutuhkan suatu cara agar dapat mempercepat proses pengambilan data. Metode  optimasi  database  yang difokuskan  pada  pengujian  ini  adalah dengan  melakukan  perbandingan dari  berbagai  efektivitas sub query  serta  penggunaan  indexing  pada  tabel. Pada Query yang diuji adalah fungsi yang bernama LEFT JOIN, WHERE, ON, GROUP BY, ORDER BY dan DML (Data Manipulation Language), yaitu QUERY SELECT yang akan di lakukan pada aplikasi Xammp. Pada penelitian ini hasil yang di harapkan berupa pengambilan data yang akan menjadi lebih cepat atau efisien untuk meningkatkan kinerja pada database setelah melakukan Optimasi SQL Query dan Table Indexing.
Analisis Kemiripan Dokumen Tesis Menggunakan Algoritma Rabin-Karp Dan Dice Coefficient Similarity
Authors: Santoso Agus , Solichin Achmad
Published: February 2023

Kemiripan dokumen (document similarity) merupakan salah satu topik penelitian yang populer. Pada konteks akademis, tingkat kemiripan dokumen sering digunakan sebagai ukuran indikasi plagiasi karya ilmiah. Selain itu, tingkat kemiripan dokumen juga bermanfaat bagi akademisi dalam menemukan publikasi ilmiah yang selaras dengan topik penelitian tertentu. Kontribusi utama dari penelitian ini adalah melakukan analisis kemiripan dokumen tesis mahasiswa pada suatu program studi. Hasil analisis kemiripan dapat menjadi ukuran tingkat indikasi plagiasi dokumen tesis di program studi. Untuk menghasilkan kemiripan dokumen teks digunakan algoritma Rabin-Karp dan metode Dice Coefficient Similarity. Sebagai data uji, digunakan kumpulan dokumen tesis dari 4 (empat) program studi di Universitas Budi Luhur. Hasil pengujian analisis kemiripan dokumen tesis untuk program studi S2 Ilmu Komputer sebesar 20,95%, S2 Ilmu Komunikasi sebesar 21,07%, S2 Akuntansi sebesar 26,63%, dan S2 Manajemen sebesar 27,9%. Selain itu, untuk mengukur akurasi metode yang diusulkan dilakukan perbandingan hasil kemiripan dokumen dengan perangkat lunak CheckPlagiarism dan menghasilkan tingkat akurasi sebesar 94,7%. Hasil tersebut menunjukkan bahwa metode yang diusulkan mampu menghasilkan tingkat similaritas dokumen dengan baik.
Sistem Pemantauan Konsumsi Energi Listrik Berbasis Web Sebagai Upaya Konservasi Energi
Authors: Aditya Angga Wahyu , Alham Nur Rani , Utomo Restu Mukti , Hilmansyah -
Published: February 2023

Sistem pemantauan energy listrik berbasis Internet of Things (IoT) yang terhubung dengan website menjadi salah satu solusi dalam peningkatan kapasitas, efisiensi dan kemudahan dalam menjalankan audit energy listrik sebagai upaya konservasi energy listrik. Sistem pemantauan ini diletakkan pada panel induk utama gedung untuk mendapatkan data pengukuran. PM2120 yang digunakan dalam sistem pemantauan ini telah berstandar industri dengan prosentasi error pengukuran dibawah 1%. Komunikasi Modbus berbasis RS485 digunakan untuk mengakses data pada ESP32. Data yang dikirimkan PM2120 merupakan data tegangan, arus, daya, energy (aktif, reaktif dan semu), frekuensi, power factor, harmonisa arus dan harmonisa tegangan yang diukur dari pane induk utama gedung. Sistem pemantauan energy listrik ini diterapkan pada gedung perkantoran yang menggunakan AC dengan total luas ruangan sebesar 1026 m2. Berdasarkan data tersebut, standar Instensitas Konsumsi Energi (IKE) gedung tersebut sebesar 4.4 kWh//bulan atau 52.73 kWh//tahun. Nilai ini menujukkan bahwa gedung tersebut termasuk dalam kriteria sangat efisien.
Penerapan Machine Learning untuk Prediksi Potensi Hilangnya Nasabah Bank
Authors: Naufal Mohammad Farid , Subrata - , Susanto Alvin Fernando , Kansil Christian Nathaneil , Huda Solichul
Published: February 2023

Nasabah adalah salah satu aset paling berharga dari sebuah bisnis perbankan. Mereka adalah ujung tombak pengguna produk yang nantinya memberikan keuntungan bagi bank, terutama pada produk kartu kredit. Penelitian ini bertujuan untuk mengetahui nasabah mana sajakah yang berpotensi untuk meninggalkan layanan kartu kredit dari sebuah bank. Pada penelitian sebelumnya belum ada yang melakukan analisis perbandingan algoritma machine learning dengan berbagai macam tahapan preprocessing untuk memprediksi potensi hilangnya nasabah bank. Penelitian ini melakukan analisis perbandingan algoritma machine learning dengan kombinasi tahapan preprocessing untuk memprediksi potensi hilangnya nasabah bank. Analisis ini penting untuk pemilihan algoritma yang paling cocok untuk prediksi potensi hilangnya nasabah bank. Pada tahapan preprocessing diterapkan dimensionality reduction dan feature selection menggunakan metode Variance threshold dan Correlation coefficient. Metode klasifikasi yang digunakan adalah Logistic regression (LR), Decision tree (DT), dan Naïve Bayes (NB). Hasil tertinggi dari ketiga metode tersebut adalah Decision tree yang mampu memiliki nilai F1 Score sebesar 96% dan nilai akurasi mencapai 93%. Logistic regression dan Naïve Bayes berada pada urutan kedua dan ketiga setelah decision tree. Tahapan data preprocessing tidak memberikan pengaruh yang signifikan pada nilai F1 Score dan akurasi.
Analyzing the Workload and its Effects on Teachers’ Motivation in the City of Faisalabad, Pakistan
Authors: Aslam Sadia , Qayyum Aminah , Manzoor Adeela , Hina Humaira , Aslam Muhammad A. , Ahmad Khaleel , Akram Waseem , Nawaz Naima
Published: February 2023

We conducted this study to analyzed the current workload of secondary school teachers in the city of Faisalabad and the effects of workload on the motivation among teachers. A total of 112 randomly selected secondary school teachers participated in the data collection process on a structured and validated questionnaire. Collected data were analyzed using Statistical Package for Social Sciences (SPSS). Descriptive statistical techniques were applied to the data. The results indicated that an average of 65.8 students were in the class and teachers had an average of 6.02 periods in a day. The average number of courses taught was 4.24 and the average number of classes managed by each teacher was 4.32. Extensive documentary work, managing extra time for co-curricular activities and curriculum activities and involvement in irrelevant activities were the leading activities exacerbating the workload. The workload of teachers had adverse effects on class performance, teaching quality, teaching skills and health, as perceived by the respondents. Teachers suggested a collaborative working environment, discouraging irrelevant assignments, incentives for the teachers for performing extra duties, and management of workload to improve the motivation level of teachers. This study suggested a teacher-friendly policy which could keep teachers easy to boost their level of motivation for a more conducive learning environment Teachers should be imparted with bimonthly training, especially on workload management and stress management.
RANCANG BANGUN SISTEM INFORMASI E-MARKETING PADA PT PULAU CAHAYA TERANG
Authors: Tukino Tukino
Published: February 2023

Current technological developments are increasing, one of which is the development of the internet that is very fast, many companies are starting to offer their products through the internet to maximize their profits, so that competition between companies is getting tighter. PT Pulau Cahaya Terang  is one company that manufactures and sells various types of spring beds and equipment in the city of Batam. The sales system is by the way consumers come directly to the company, contact by telephone, or the company offers products directly through salesmen, the system Used is less effective now, becaUse consumers find it difficult to get the latest information and making an order quickly. For this reason, it is necessary to create a web-based sales information system at PT Pulau Cahaya Terang  so that consumers can easily access product information and can also directly order and pay for products through the website. The method Used is the SDLC Waterfall model which consists of needs analysis, design, programming code, testing, implementation and maintenance. The results of this research are a website-based sales information system that makes it easier for consumers to obtain information and order products, and save employee costs and time
Correlated activity in globus pallidus and thalamus during voluntary reaching movement in three children with primary dystonia
Authors: Kasiri Maral , Javadzadeh Sina , Nataraj Jaya , Seyyed Mousavi Seyyed Alireza , Sanger Terence
Published: February 2023

Classical models of the physiology of dystonia suggest that involuntary muscle contractions are caused by inappropriately low activity in Globus Pallidus internus (GPi) that fails to adequately inhibit thalamic inputs to cortex. We test this prediction in three children with primary dystonia undergoing depth electrode recording in basal ganglia and thalamus during selection of targets for deep brain stimulation (DBS) implantation. We compare muscle activity to the power in the spectrogram of the local field potential, as well as to counts of identified spikes in GPi, subthalamic nucleus (STN), and the Ventral oralis (VoaVop) and Ventral Anterior (VA) subnuclei of the thalamus, while subjects are at rest or attempting to make active voluntary arm or leg reaching movements. In all three subjects, both spectrogram power and spike activity in GPi, STN, VoaVop, and VA are significantly positively correlated with movement. In particular, GPi and STN both increase activity during attempted movement. These results contradict the classical rate model of the physiology of dystonia, and support more recent models that propose abnormalities in the detailed pattern of activity rather than the overall lumped activity of pallidum and thalamus.
Exploration and verification of COVID-19-related hub genes in liver physiological and pathological regeneration
Authors: Shi Jihang , Li Guangya , Yuan Xiandun , Wang Yafei , Gong Ming , Li Chonghui , Ge Xinlan , Lu Shichun
Published: February 2023

Objectives An acute injury is often accompanied by tissue regeneration. In this process, epithelial cells show a tendency of cell proliferation under the induction of injury stress, inflammatory factors, and other factors, accompanied by a temporary decline of cellular function. Regulating this regenerative process and avoiding chronic injury is a concern of regenerative medicine. The severe coronavirus disease 2019 (COVID-19) has posed a significant threat to people’s health caused by the coronavirus. Acute liver failure (ALF) is a clinical syndrome resulting from rapid liver dysfunction with a fatal outcome. We hope to analyze the two diseases together to find a way for acute failure treatment.

Methods COVID-19 dataset (GSE180226) and ALF dataset (GSE38941) were downloaded from the Gene Expression Omnibus (GEO) database, and the “Deseq2” package and “limma” package were used to identify differentially expressed genes (DEGs). Common DEGs were used for hub genes exploration, Protein-Protein Interaction (PPI) network construction, Gene Ontology (GO) functional enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. The real-time reverse transcriptase-polymerase chain reaction (RT-qPCR) was used to verify the role of hub genes in liver regeneration during in vitro expansion of liver cells and a CCl4-induced ALF mice model.

Results: The common gene analysis of the COVID-19 and ALF databases revealed 15 hub genes from 418 common DEGs. These hub genes, including CDC20, were related to cell proliferation and mitosis regulation, reflecting the consistent tissue regeneration change after the injury. Furthermore, hub genes were verified in vitro expansion of liver cells and in vivo ALF model. On this basis, the potential therapeutic small molecule of ALF was found by targeting the hub gene CDC20.

Conclusion We have identified hub genes for epithelial cell regeneration under acute injury conditions and explored a new small molecule Apcin for liver function maintenance and ALF treatment. These findings may provide new approaches and ideas for treating COVID-19 patients with ALF.
Deciphering the virulence factors, regulation, and immune response to Acinetobacter baumannii infection
Authors: Shadan Afreen , Pathak Avik , Ma Ying , Pathania Ranjana , Singh Rajnish Prakash
Published: February 2023

Deciphering the virulence factors, regulation, and immune response to Acinetobacter baumannii infectionAcinetobacter baumannii is a gram-negative multidrug-resistant nosocomial pathogen and a major cause of hospital acquired infetions. Carbapenem resistant A. baumannii has been categorised as a Priority1 critial pathogen by the World Health Organisation. A. baumannii is responsible for infections in hospital settings, clinical sectors, ventilator-associated pneumonia, and bloodstream infections with a mortality rates up to 35%. With the development of advanced genome sequencing, molecular mechanisms of manipulating bacterial genomes, and animal infection studies, it has become more convenient to identify the factors that play a major role in A. baumannii infection and its persistence. In the present review, we have explored the mechanism of infection, virulence factors, and various other factors associated with the pathogenesis of this organism. Additionally, the role of the innate and adaptive immune response, and the current progress in the development of innovative strategies to combat this multidrug-resistant pathogen is also discussed.
Repeated and multiple fecal microbiota transplantations plus partial enteral nutrition as the first-line treatment in active pediatric Crohn’s disease
Authors: Zou Biao , Liu Shengxuan , Li Xuesong , He Jiayi , Dong Chen , Ruan Mengling , Huang Zhihua , Shu Sainan
Published: February 2023

Background

Most studies have reported fecal microbiota transplantation (FMT) as an effective secondary option for Crohn’s disease (CD). However, there is little data on FMT as a first-line treatment for CD. In our study we explore the rates of clinical and endoscopic remission and mucosal healing after FMT plus partial enteral nutrition (PEN), as a first-line treatment for active CD in children.

Methods

We retrospectively enrolled pediatric CD patients who underwent PEN or PEN plus FMT treatment at diagnosis from November 2016 to July 2019 at the Pediatric Department, Tongji Hospital. The two groups were defined as FMT group (repeated and multiple doses of FMT plus PEN) or PEN group (PEN alone). All the patients received PEN intervention. At baseline and week 8- 10, the FMT group was administered multiple doses of FMT to help induce and maintain remission. All patients were evaluated at week 8- 10 and 18-22 via clinical and relevant laboratory parameters and endoscopic results. The clinical and endoscopic remission and mucosal healing rates were compared between the two groups at different time points after the therapy.

Results

Twenty-five newly diagnosed active CD patients were included in the study, containing 7 females and 18 males with a median age of 11. 1 ± 2.3 years. 13 and 12 patients were assigned to the PEN and FMT groups, respectively. At week 8-10, clinical remission was obtained in 83.3% and 53.8% of the FMT and PEN groups, respectively (p=0.202). The endoscopic remission rates were 72.7% for FMT and 25.0% for PEN (p=0.039), whereas the mucosal healing rates were 27.2% for FMT and 0% for PEN (p=0.093). At week 18-22, clinical remission was achieved in 72.7% and 20.0% of patients in the FMT and PEN groups, respectively (p=0.03). Theendoscopic remission rates were 66.6% and 12.5% in the FMT and PEN groups, respectively (p=0.05), whereas the mucosal healing rates were 55.5% and 0% in FMT and PEN groups, respectively (p=0.029).

Conclusion

This study demonstrate that FMT plus PEN can be used as a first-line treatment for active CD in children.
SMS-text messaging for collecting outcome measures after acute stroke
Authors: DiCarlo Julie A. , Erler Kimberly S. , Petrilli Marina , Emerson Kristi , Gochyyev Perman , Schwamm Lee H. , Lin David J.
Published: February 2023

Introduction

Traditional methods for obtaining outcomes for patients after acute stroke are resource-intensive. This study aimed to examine the feasibility, reliability, cost, and acceptability of collecting outcomes after acute stroke with a short message service (SMS)-text messaging program.

Methods

Patients were enrolled in an SMS-text messaging program at acute stroke hospitalization discharge. Participants were prompted to complete assessments including the modified Rankin scale (mRS) and Patient-Reported Outcomes Measurement (PROM) Information System Global-10 at 30, 60, and 90 days postdischarge via SMS-text. Agreement and cost of SMS-text data collection were compared to those obtained from traditional follow-up methods (via phone or in the clinic). Participant satisfaction was surveyed upon program conclusion.

Results

Of the 350 patients who agreed to receive SMS texts, 40.5% responded to one or more assessments. Assessment responders were more likely to have English listed as their preferred language (p = 0.009), have a shorter length of hospital stay (p = 0.01), lower NIH stroke scale upon admission (p < 0.001), and be discharged home (p < 0.001) as compared to nonresponders. Weighted Cohen’s kappa revealed that the agreement between SMS texting and traditional methods was almost perfect for dichotomized (good vs. poor) (κ = 0.8) and ordinal levels of the mRS score (κ = 0.8). Polychoric correlations revealed a significant association for PROM scores (ρ = 0.4, p < 0.01 and ρ = 0.4, p < 0.01). A cost equation showed that gathering outcomes via SMS texting would be less costly than phone follow-up for cohorts with more than 181 patients. Nearly all participants (91%) found the program acceptable and not burdensome (94%), and most (53%) felt it was helpful. Poststroke outcome data collection via SMS texting is feasible, reliable, low-cost, and acceptable. Reliability was higher for functional outcomes as compared to PROMs.

Conclusions

While further validation is required, our findings suggest that SMS texting is a feasible method for gathering outcomes after stroke at scale to evaluate the efficacy of acute stroke treatments.
Effect of feedback through dynamic assessment on EFL field-dependent and field-independent learners’ speaking skill development
Authors: Kafipour Reza , Khoshnood Ali
Published: February 2023

Introduction

Testing and assessment tools evaluate students’ performance in a foreign language. Moreover, the ultimate goal of tests is to reinforce learning and motivate students. At the same time, instructors can gather information about learners’ current level of knowledge through assessment to revise and enhance their teaching. This study aimed to investigate the effect of Dynamic Assessment on Iranian English as a Foreign Language (EFL) learners’ speaking skills by considering language learners’ cognitive styles (field dependence and field independence).

Methods

For this purpose, 60 Iranian intermediate-level EFL female learners were selected through convenience sampling from three language institutes with similar teaching methods in Shiraz, Iran. The current study has a quasi-experimental design since randomization was impossible. First, the authors used the Nelson Proficiency test and interview to determine the participants’ proficiency level and speaking ability, respectively. Next, they took the group embedded figures test (GEFT) to determine the participants’ type of cognitive style (field dependence or field independence). Next, the participants were randomly assigned to two experimental (FD and FI learners with the dynamic assessment) and two control groups. Paired and independent-sample t-test were applied to analyze the data.

Results and discussion

Results revealed that although dynamic assessment was effective for both experimental groups, the Field-dependent group with dynamic assessment outperformed the other. Thus, it can be concluded that in addition to the dynamic assessment, language learners’ cognitive style can also play a vital role in increasing the assessment effectiveness. This type of assessment attracts instructors’ attention to learners’ potential to help the language learners gradually improve their performance. In addition, language institutes can introduce this new way of assessment in their advertisements and attract more students, leading to higher income and publicity for them.
Multicausal analysis of the dropout of university students from teacher training studies in Andalusia
Authors: Ibáñez-Cubillas Pilar , López-Rodríguez Slava , Martínez-Sánchez Isabel , Rodríguez José Álvarez
Published: February 2023

To give an answer and a solution to the inconveniences that dropout brings to universities and to society, we have studied the different approaches that exists in the actual scientific literature about the reasons of this phenomenon. The aim of this investigation is analyzing the college dropout, focalizing in students of education degrees of Andalusian universities. For doing that, we applied a standardized instrument that pretend to determine which are the factors associated to the permanence of the college students. The instrument was applied to 608 students of the first year of six Andalusian universities. Of these, 274 were studying Infant education degree and 334 Primary education degree. The study shows that a large sample of the subjects interviewed responded with higher scores 3.83, stating the need to remain in their undergraduate studies, with few references to dropping out of the university. Some of the items that have obtained the highest ratings express their desire to graduate with honors, become a good professional and practice their profession within their field of work, among others.
Determination of ecological flow thresholds for rainfall-recharging rivers based on multiple hydrological methods
Authors: Yu Jiandong , Yu Shouchao , Zhang Hengjia , Wang Zeyi , Zhou Chenli , Chen Xietian
Published: February 2023

Given the threats to the regional river ecological flow, including the sharp increase in per capita water demand, the increase in the number of hydraulic engineering, and the strong seasonal runoff of rainfall recharge channels, we clarified the appropriate ecological flow thresholds for the middle reaches of Bailong River of northwest China. Based on the monthly runoff data in the Wudu Hydrological Station of Bailong River from 1990 to 2020, seven suitable hydrological methods were used to couple the estimation of the ecological flow in the middle reaches of Bailong River, which were tested by runoff satisfaction level analysis, using quadratic fit and 95% confidence interval to determine the monthly ecological flow and threshold of the river in the study area. The results by using the single hydrological methods showed that the calculation results from the monthly minimum ecological runoff calculation method, the improved RVA method, the Tennant method, and the DC method were four better estimation methods, which had a satisfaction level of more than 90% in the whole year. The improved RVA method and the Tennant method were more suitable for the diversion power station whose main task aimed at power generation. Although the economic benefits of hydropower stations were better when the improved RVA method was used to calculate ecological flow, the calculation results from the improved RVA method were tested and analyzed by the Tennant method, which were extremely poor from November to April in the following year, and could not meet the minimum ecological water requirements for the biological community in the river channel. While the other five methods all meet this requirement. We suggest that the minimum ecological flow in the middle reaches of the Bailong River maintained at 27.28 m3⁄s, and the maximum retained at 116.33 m3⁄s. The calculation results were in line with the dynamics of runoff in the study area, which could improve the accuracy of water ecological protection. The calculation results of this study could be used for the middle reaches of the Bailong River and may provide a reference for follow-up ecological restoration research and management in similar ecological zones.
Land use and adaptive governance under climate change: Analysis of four cases in pastoral areas of China
Authors: Zhang Qian
Published: February 2023

Under the impact of climate change, pastoral areas of China have experienced increasing frequency and intensity of extreme events, which has brought more challenges to pastoralists’ livelihood. Adaptive governance refers to increasing resilience through collaborative, flexible, and learning-oriented management on different scales to form a set of political, social, economic, and administrative systems for the development, management, and allocation of resources. As such, it provides a useful framework and benchmark for enhancing adaptive capacity. However, how to implement adaptive governance in practice is still an unresolved problem. Under the current property regime, which individualized grassland use rights with wire fences built to demarcate boundaries, pastoralists of different places have tried to increase their adaptability to reduce the loss caused by disasters. Some succeeded, but some failed. Based on household surveys and an comparative analysis of four cases in pastoral areas of China, this article presents their climate change risk and changes in land use arrangements, explores the reasons for their different adaptability by comparing their coping strategies with the adaptive governance features, and finally illustrates the challenges influencing the application of adaptive governance at the local level.
Mortality, and life expectancy in Epilepsy and Status epilepticus—current trends and future aspects
Authors: Trinka Eugen , Rainer Lucas J. , Granbichler Claudia A. , Zimmermann Georg , Leitinger Markus
Published: February 2023

Patients with epilepsy carry a risk of premature death which is on average two to three times higher than in the general population. The risk of death is not homogenously distributed over all ages, etiologies, and epilepsy syndromes. People with drug resistant seizures carry the highest risk of death compared to those who are seizure free, whose risk is similar as in the general population. Most of the increased risk is directly related to the cause of epilepsy itself. Sudden unexplained death in epilepsy patients (SUDEP) is the most important cause of epilepsy-related deaths especially in the young and middle-aged groups. Population based studies with long-term follow up demonstrated that the first years after diagnosis carry the highest risk of death, while in the later years the mortality decreases. Improved seizure control and being exposed to a specialized comprehensive care centre may help to reduce the risk of death in patients with epilepsy. The mortality of status epilepticus is substantially increased with case fatality rates between 4.6% and 39%, depending on its cause and duration, and the age of the population studied. The epidemiological data on overall and cause specific mortality as well as their determinants and risk factors are critically reviewed and methodological issues pertinent to the studies on mortality of epilepsy and Status epilepticus are discussed.
A combination of HLA-DP α and β chain polymorphisms paired with a SNP in the DPB1 3’ UTR region, denoting expression levels, are associated with atopic dermatitis
Authors: Margolis David J. , Duke Jamie L. , Mitra Nandita , Berna Ronald A. , Hoffstad Ole J. , Wasserman Jenna R. , Dinou Amalia , Damianos Georgios , Kotsopoulou Ioanna , Tairis Nikolaos , Ferriola Deborah A. , Mosbruger Timothy L. , Hayeck Tristan J. , Yan Albert C. , Monos Dimitri S.
Published: February 2023

Introduction: Components of the immune response have previously been associated with the pathophysiology of atopic dermatitis (AD), specifically the Human Leukocyte Antigen (HLA) Class II region via genome-wide association studies, however the exact elements have not been identified.

Methods: This study examines the genetic variation of HLA Class II genes using next generation sequencing (NGS) and evaluates the resultant amino acids, with particular attention on binding site residues, for associations with AD. The Genetics of AD cohort was used to evaluate HLA Class II allelic variation on 464 subjects with AD and 384 controls.

Results: Statistically significant associations with HLA-DP α and β alleles and specific amino acids were found, some conferring susceptibility to AD and others with a protective effect. Evaluation of polymorphic residues in DP binding pockets revealed the critical role of P1 and P6 (P1: α31M + (β84G or β84V) [protection]; α31Q + β84D [susceptibility] and P6: α11A + β11G [protection]) and were replicated with a national cohort of children consisting of 424 AD subjects. Independently, AD susceptibility-associated residues were associated with the G polymorphism of SNP rs9277534 in the 3’ UTR of the HLA-DPB1 gene, denoting higher expression of these HLA-DP alleles, while protection-associated residues were associated with the A polymorphism, denoting lower expression.

Discussion: These findings lay the foundation for evaluating non-self-antigens suspected to be associated with AD as they potentially interact with particular HLA Class II subcomponents, forming a complex involved in the pathophysiology of AD. It is possible that a combination of structural HLA-DP components and levels of expression of these components contribute to AD pathophysiology.
Identification of hub genes associated with osteoporosis development by comprehensive bioinformatics analysis
Authors: Deng Yuxuan , Wang Yunyun , Shi Qing , Jiang Yanxia
Published: February 2023

Osteoporosis (OP) is a systemic bone disease caused by various factors, including, the decrease of bone density and quality, the destruction of bone microstructure, and the increase of bone fragility. It is a disease with a high incidence in a large proportion of the world’s elderly population. However, osteoporosis lacks obvious symptoms and sensitive biomarkers. Therefore, it is extremely urgent to discover and identify disease-related biomarkers for early clinical diagnosis and effective intervention for osteoporosis. In our study, the Linear Models for Microarray Data (LIMMA) tool was used to screen differential expressed genes from transcriptome sequencing data of OP blood samples downloaded from the GEO database, and cluster Profiler was used for enriching analysis of differently expressed genes. In order to analyzed the relevance of gene modules, clinical symptoms, and the most related module setting genes associated with disease progression, we adapted Weighted Gene Co-expression Network Analysis (WGCNA) to screen and analyze the related pathways and relevant molecules. We used the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database to construct protein interaction network of key modules, and Cytoscape software was used to complete network visualization and screen of core genes in the network. Various plug-in algorithms of cytoHubba were used to identify key genes of OP. Finally, correlation analysis and single-gene gene probe concentration analysis (GSEA) analysis were performed for each core gene. Results of a total of 8 key genes that were closely related to the occurrence and development of OP were screened out, which provided a brand-new idea for the clinical diagnosis and early prevention of OP. Quantitative real-time PCR (qRT-PCR) was performed for validation, the expression levels of CUL1, PTEN and STAT1 genes in the OS group were significantly higher than in the non-OS groups. Receiver operating characteristic analysis demonstrated that CUL1, PTEN and STAT1 displayed considerable diagnostic accuracy for OS.
Public perceptions and attitudes of the national project of bio-big data: A nationwide survey in the Republic of Korea
Authors: Yang Ji Hyun , Kim Hannah , Lee Ilhak
Published: February 2023

Background: The National Project of Bio-Big Data (NPBBD) is a South Korean bio-big data collection project, expected to include health, genomic, and lifelog data of one million Koreans. The Ethical, Legal, and Social Implications study is a parallel study active since 2020. As part of the study, a public survey was conducted to evaluate public attitudes towards engagement schemes, such as public committees and web portals for communication between the public and researchers.

Methods: An online survey was conducted from March 3–9, 2021, using structured questionnaires addressed to 1,000 adults aged 20–59 years.

Results: Several respondents reported a positive attitude towards participation (43.6% “somewhat,” 14.3% “definitely”), whereas approximately one-third (36.5%) reported a neutral attitude. Positive factors that may affect the willingness of the respondents to participate included receiving health information (25.1%), contributing to research on cancer and rare diseases (21.9%), and advancing personalized medicine (21.5%). Conversely, negative factors were mainly associated with concerns regarding the risk of data leakage (22.8%), discrimination (21.1%), lack of information (13.5%), possibility of knowing the risk of being diagnosed with an incurable diseases (12.5%), and possibility of using data in industry (11.3%). In terms of project governance, respondents tended to recognize the importance of public participation in incorporating public opinion into the project design.

Conclusion: These results have implications for the participant recruitment process, public engagement strategies, and the scope of user (academics/industry, domestic/overseas) accessibility to the database.
Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock
Authors: Zhao Shaobo , Zhu Kun , Li Xiaoyi , Zhong Xiaohui , Zhao Yanan , Le Zhenkai , Liu Zhicong , Xiao Yi , Lai Dengming , Jiao Na , Shu Qiang
Published: February 2023

Septic shock as a subset of sepsis, has a much higher mortality, while the mechanism is still elusive. This study was aimed at identifying core mechanisms associated with septic shock and its high mortality by investigating transcriptome data. We screened 72 septic-shock-associated genes (SSAGs) with differential expression between septic shock and sepsis in the discovery dataset. Further gene set enrichment analysis identified upregulated neutrophil activation and impaired T-cell activation in septic shock. Co-expression analysis revealed nine co-expressed gene modules. In addition, we determined twenty-one prognostic SSAGs using cox regression analysis in an independent dataset. Moreover, protein–protein interaction (PPI) network revealed two clusters. Among these neutrophil activation was enriched in the most positively-related modules and the cluster2 PPI network, while T-cell activation was enriched in both the most negatively-related module and one of the most positively-related modules as well as the cluster1 PPI network. ELANE, LCN2 and IFI44 were identified as hub genes with CytoHubba methods and semantic similarity analysis. Notably, ELANE was the only prognostic gene and was further validated in an external dataset. Blood neutrophil count was demonstrated to increase in septic shock and be a risky factor of prognosis based on clinical data. In conclusions, septic shock is associated with upregulated neutrophil activation and dysregulated T-cell activation. Three hub genes might have potentials as sensitive markers for the further translational research and ELANE could be a robust prognostic biomarker and effective therapeutic target.
Potential diagnostic markers and therapeutic targets for rheumatoid arthritis with comorbid depression based on bioinformatics analysis
Authors: Zhou Tao-tao , Sun Ji-jia , Tang Li-dong , Yuan Ying , Wang Jian-ying , Zhang Lei
Published: February 2023

Background

Rheumatoid arthritis (RA) and depression are prevalent diseases that have a negative impact on the quality of life and place a significant economic burden on society. There is increasing evidence that the two diseases are closely related, which could make the disease outcomes worse. In this study, we aimed to identify diagnostic markers and analyzed the therapeutic potential of key genes.

Methods

We assessed the differentially expressed genes (DEGs) specific for RA and Major depressive disorder (MDD) and used weighted gene co-expression network analysis (WGCNA) to identify co-expressed gene modules by obtaining the Gene expression profile data from Gene Expression Omnibus (GEO) database. By using the STRING database, a protein–protein interaction (PPI) network constructed and identified key genes. We also employed two types of machine learning techniques to derive diagnostic markers, which were assessed for their association with immune cells and potential therapeutic effects. Molecular docking and in vitro experiments were used to validate these analytical results.

Results

In total, 48 DEGs were identified in RA with comorbid MDD. The PPI network was combined with WGCNA to identify 26 key genes of RA with comorbid MDD. Machine learning-based methods indicated that RA combined with MDD is likely related to six diagnostic markers: AURKA, BTN3A2, CXCL10, ERAP2, MARCO, and PLA2G7. CXCL10 and MARCO are closely associated with diverse immune cells in RA. However, apart from PLA2G7, the expression levels of the other five genes were associated with the composition of the majority of immune cells in MDD. Molecular docking and in vitro studies have revealed that Aucubin (AU) exerts the therapeutic effect through the downregulation of CXCL10 and BTN3A2 gene expression in PC12 cells.

Conclusion

Our study indicates that six diagnostic markers were the basis of the comorbidity mechanism of RA and MDD and may also be potential therapeutic targets. Further mechanistic studies of the pathogenesis and treatment of RA and MDD may be able to identify new targets using these shared pathways.
B cell receptor repertoire analysis from autopsy samples of COVID-19 patients
Authors: Iwabuchi Sadahiro , Tsukahara Tomohide , Okayama Toshitugu , Kitabatake Masahiro , Motobayashi Hideki , Shichino Shigeyuki , Imafuku Tadashi , Yamaji Kenzaburo , Miyamoto Kyohei , Tamura Shinobu , Ueha Satoshi , Ito Toshihiro , Murata Shin-ichi , Kondo Toshikazu , Ikeo Kazuho , Suzuki Yutaka , Matsushima Kouji , Kohara Michinori , Torigoe Toshihiko , Yamaue Hiroki , Hashimoto Shinichi
Published: February 2023

Neutralizing antibodies against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are being developed world over. We investigated the possibility of producing artificial antibodies from the formalin fixation and paraffin-embedding (FFPE) lung lobes of a patient who died by coronavirus disease 2019 (COVID-19). The B-cell receptors repertoire in the lung tissue where SARS-CoV-2 was detected were considered to have highly sensitive virus-neutralizing activity, and artificial antibodies were produced by combining the most frequently detected heavy and light chains. Some neutralizing effects against the SARS-CoV-2 were observed, and mixing two different artificial antibodies had a higher tendency to suppress the virus. The neutralizing effects were similar to the immunoglobulin G obtained from healthy donors who had received a COVID-19 mRNA vaccine. Therefore, the use of FFPE lung tissue, which preserves the condition of direct virus sensitization, to generate artificial antibodies may be useful against future unknown infectious diseases.
Genetic polymorphisms in immune- and inflammation-associated genes and their association with bovine mastitis resistance/susceptibility
Authors: Khan Muhammad Zahoor , Wang Jingjun , Ma Yulin , Chen Tianyu , Ma Mei , Ullah Qudrat , Khan Ibrar Muhammad , Khan Adnan , Cao Zhijun , Liu Shuai
Published: February 2023

Bovine mastitis, the inflammation of the mammary gland, is a contagious disease characterized by chemical and physical changes in milk and pathological changes in udder tissues. Depressed immunity and higher expression of inflammatory cytokines with an elevated milk somatic cell count can be observed during mastitis in dairy cattle. The use of somatic cell count (SCC) and somatic cell score (SCS) as correlated traits in the indirect selection of animals against mastitis resistance is in progress globally. Traditional breeding for mastitis resistance seems difficult because of the low heritability (0.10-0.16) of SCC/SCS and clinical mastitis. Thus, genetic-marker-selective breeding to improve host genetics has attracted considerable attention worldwide. Moreover, genomic selection has been found to be an effective and fast method of screening for dairy cattle that are genetically resistant and susceptible to mastitis at a very early age. The current review discusses and summarizes the candidate gene approach using polymorphisms in immune- and inflammation-linked genes (CD4, CD14, CD46, TRAPPC9, JAK2, Tf, Lf, TLRs, CXCL8, CXCR1, CXCR2, C4A, C5, MASP2, MBL1, MBL2, LBP, NCF1, NCF4, MASP2, A2M, and CLU, etc.) and their related signaling pathways (Staphylococcus aureusinfection signaling, Toll-like receptor signaling, NF-kappa B signaling pathway, Cytokine-cytokine receptor, and Complement and coagulation cascades, etc.) associated with mastitis resistance and susceptibility phenotypic traits (IL-6, interferon-gamma (IFN-γ), IL17, IL8, SCS, and SCC) in dairy cattle.
Transcriptional reprogramming of natural killer cells by vaccinia virus shows both distinct and conserved features with mCMV
Authors: Depierreux Delphine M. , Smith Geoffrey L. , Ferguson Brian J.
Published: February 2023

Natural killer (NK) cells have an established role in controlling poxvirus infection and there is a growing interest to exploit their capabilities in the context of poxvirus-based oncolytic therapy and vaccination. How NK cells respond to poxvirus-infected cells to become activated is not well established. To address this knowledge gap, we studied the NK cell response to vaccinia virus (VACV) in vivo, using a systemic infection murine model. We found broad alterations in NK cells transcriptional activity in VACV-infected mice, consistent with both direct target cell recognition and cytokine exposure. There were also alterations in the expression levels of specific NK surface receptors (NKRs), including the Ly49 family and SLAM receptors, as well as upregulation of memory-associated NK markers. Despite the latter observation, adoptive transfer of VACV-expercienced NK populations did not confer protection from infection. Comparison with the NK cell response to murine cytomegalovirus (MCMV) infection highlighted common features, but also distinct NK transcriptional programmes initiated by VACV. Finally, there was a clear overlap between the NK transcriptional response in humans vaccinated with an attenuated VACV, modified vaccinia Ankara (MVA), demonstrating conservation between the NK response in these different host species. Overall, this study provides new data about NK cell activation, function, and homeostasis during VACV infection, and may have implication for the design of VACV-based therapeutics.
The association between genetic variants at 3’-UTR and 5’-URR of HLA-G gene and the clinical outcomes of patients with leukemia receiving hematopoietic stem cell transplantation
Authors: Chen Ding-Ping , Wang Po-Nan , Hour Ai-Ling , Lin Wei-Tzu , Hsu Fang-Ping , Wang Wei-Ting , Tseng Ching-Ping
Published: February 2023

In addition to the classical human leukocyte antigen (HLA) genes, the outcomes of post-hematopoietic stem cell transplantation (HSCT) are associated with human leukocyte antigen (HLA)-related genes and non-HLA genes involved in immune regulation. HLA-G gene plays an important role in immune tolerance, assisting immune escape of tumor cells, and decrease of transplant rejection. In this study, we explored the association of genetic variants at the 3’-untranslated region (3’-UTR) and 5’-upstream regulatory region (5’-URR) of HLA-G gene with the adverse outcomes of patients with leukemia receiving HSCT. The genomic DNAs of 164 patients who had acute leukemia and received HSCT were collected for analysis. Nine single nucleotide polymorphisms (SNPs) and six haplotypes in the 3’-UTR and 27 SNPs and 6 haplotypes in the 5’-URR were selected to investigate their relationship with the development of adverse outcomes for patients receiving HSCT, including mortality, relapse, and graft-versus-host disease. Our results revealed that two SNPs (rs371194629 and rs9380142) and one haplotype (UTR-3) located in the 3’-UTR and two SNPs (rs3823321 and rs1736934) and one haplotype (G0104a) located in the 5’-URR of HLA-G were associated with the occurrence of chronic GVHD or development of any forms of GVHD. No SNP was found to associate with the occurrence of mortality and relapse for patients receiving HSCT. These SNPs and haplotypes may play important roles in regulating immune tolerance of allografts post-HSCT that can be used to predict the risk of poor outcomes after receiving HSCT and giving preventive treatment to patients on time.