bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Kinerja Penyelenggaraan Pemerintahan Daerah : Studi Kasus Pada Pemerintah Daerah Kabupaten Provinsi Jawa Timur
Authors: Ardiami Kinanthi Putri , Ivana Ardelia Rhomandhonna  
Published: November 2023

Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh karakteristik pemerintah daerah dan opini audit terhadap kinerja penyelenggaraan pemerintahan daerah. Karakteristik pemerintah daerah dalam penelitian ini adalah ukuran, tingkat kekayaan, tingkat ketergantungan, belanja modal, jumlah penduduk, jumlah pegawai ASN, dan jumlah OPD. Populasi dalam penelitian ini adalah pemerintah daerah kabupaten di Provinsi Jawa Timur tahun 2015-2017. Metode pengambilan sampel menggunakan purposive sampling dan model analisis yang digunakan adalah analisis data panel dengan aplikasi Eviews 9. Hasil dari penelitian ini menunjukkan bahwa ukuran pemerintah daerah, tingkat ketergantungan, belanja modal, jumlah pegawai ASN, dan jumlah OPD berpengaruh positif signifikan terhadap kinerja penyelenggaraan pemerintahan daerah. Tingkat kekayaan dan opini audit berpengaruh negatif signifikan terhadap kinerja penyelenggaraan pemerintahan daerah, sedangkan jumlah penduduk tidak berpengaruh terhadap kinerja penyelenggaraan pemerintahan daerah.
Kata kunci: karakteristik, EKPPD, kinerja penyelenggaraan, pemerintah daerah
Analisis Efisiensi dan Efektivitas Realisasi Anggaran Belanja pada Dinas Koperasi, UMK, UM dan Perindustrian Kota Metro Tahun Anggaran 2017-2020
Authors: Drajat Armono  , Nur Widiyaningsih  , Nurhayanto  
Published: November 2023

Abtract The budget is an important tool in public sector organization as well as in the private sector, because the budget is used as a measuring tool or performance appraisal to be achieved in the future and is expressed in numbers. Therefore, this study aims to determine and measure the level of efficiency and effectiveness of the local government’s performance of the Departement of Cooperatives, UMK, UM and Metro City Industry in realizing the budget starting from the 2017-2020 period. This study uses the Budget Realization Report obtained from the object of research. The result of this study conclude that the calculation of the average use of the budget is quite effective and efficient. The use of the budget is said to be successful if the realization does not exceed the budgeted figure.
Keywords: Budget, Efficiency, Effectiveness, Performance Measurement
THE RELATIONSHIP BETWEEN SELF-EFFICACY AND LEARNING INDEPENDENCE WITH WORK READINESS OF CLASS XII STUDENTS OF SMK MUHAMMADIYAH 1 SUKOHARJO
Authors: Rizkianna Rizka , Efendi Agus , Maryono Dwi 
Published: November 2023

<em>The research aims to understand the relationship between self-efficacy and independence student learning readiness work students. The research methodology used a correlational study. The population that was used in the research were all students XII computer engineering program at SMK Muhammadiyah 1 Sukoharjo covering 143 students. While the research sample of 72 students was obtained by a cluster random sampling method of sampling. Data collection in this research uses three that is scales of self-efficacy, scales of independence learning, and scales of readiness work students that have been tested the validity and reliability. The result showed that self-efficacy and independence learning has a positive and significant with readiness for work students, whether independent or simultaneous. </em>
Improving Hierarchical Ecosystem Structures and Multicriteria Evaluation for Current Land Ecosystem Classification
Authors: Zhang Yan , West Neil E. , Hua Xu Jian 
Published: November 2023

Abstract
For the purposes of environmental management and planning, Land Ecosystem Classification (LEC) provides a systematic framework for organizing landscape resources. LEC attempts to capture Earth processes over large geographic areas that produce persistent ecosystem patterns across the landscape. Past studies have conducted a comprehensive examination of LECs implemented in the 300 Dry Domain of the United States and the 100 Polar Domain of Canada. In this paper, LECs were manipulated and simplified as the structure levels within a hierarchical system, making this approach applicable globally. This study introduced a Real-World Components Model and streamlined the LEC into the structural levels. The verification of the top-level Domain established physical links and connections of comparison bases at continental and global scales. The focal levels represented the primary components of national and regional ecosystem classification. The bottom level and its components were objectively defined in relation to the Ecological Sites or Ecosites. The result showed that the LEC dimension was effectively reduced to fewer than ten levels across its full range. The component effect and importance values interpreted the comprehension of organizational levels and the ecosystem structures. In conclusion, with the Real-World Component Model, we were able to quantitatively compare and assess the LECs based on the component effect values and the component importance values. The component effect values within the ecosystem hierarchies exhibited a significant relationship with the component importance values (R2=0.8025, P < 0.01) across the full range of the LECs at the global continental scale.
An interpretable prediction model for the risk of retinopathy of prematurity development based on machine learning and SHapley Additive exPlanations (SHAP)
Authors: Liu Chen , Yin Xiaolong , Huang Dan , Xu Yuan , Li Shurong , Yu Chunhong , Zhang Yuezhi , Deng Yan 
Published: November 2023

Abstract
Purpose: Building a model to predict the occurrence of ROP for preterm infants based on machine learning method, expecting this model to be widely used in clinical practice.
Method:The clinical data of 642 preterm infants (126 children with ROP and 516 preterm infants without ROP) in our hospital were extracted, divided into training and validation sets according to the ratio of 4:1, and the prediction models were constructed separately by six machine learning, and the model with the best prediction performance was screened, and the prediction results of the machine learning models were visualized and interpreted by SHAP method.
Results: Among the models constructed by the six machine learning , the model constructed by XGBoost has the best AUC both in the training set (0.96) and in the validation set (0.949).severe pre-eclampsia, apgar 1 min, gestational age at birth, a very low birth weight, blood transfusion, and neonatal hyperglycemia were the candidate predictors for the XGBoost. SHAP showed that apgar 1 min, gestational age at birth, a very low birth weight, blood transfusion, and neonatal hyperglycemia were risk factors for the occurrence of ROP, and severe pre-eclampsia could contribute to the occurrence of ROP.
Conclusion: The XGBoost created based on machine learning with the predictive features of severe pre-eclampsia, apgar 1 min, gestational age at birth, a very low birth weight, blood transfusion, and neonatal hyperglycemia showed a high predictive value for ROP. This model could be clinically applied to screen patients at high risk of ROP.
Structural elucidation of full-length Pfs48/45 in complex with potent mAbs isolated from a naturally exposed individual
Authors: Julien Jean-Philippe , Kucharska Iga , Ivanochko Danton , Hailemariam Sophia , Inklaar Maartje , Kim Hee Ryung , Teelen Karina , Stoter Rianne , de Vegte-Bolmer Marga van , Gemert Geert-Jan van , Semesi Anthony , McLeod Brandon , Ki Ahyoung , Lee Won-Kyu , Rubinstein John , Jore Matthijs 
Published: November 2023

Abstract
Biomedical interventions capable of preventing the transmission of malaria-causing Plasmodium falciparum (Pf) between the human host and mosquito vector could prove a valuable tool in malaria elimination efforts. Pfs48/45, a gamete-surface protein essential for Pf development in the mosquito midgut, is a key component of clinical-stage transmission-blocking vaccines. Antibodies against this antigen have been demonstrated to efficiently reduce Pf transmission from humans to mosquitoes. Potent human monoclonal antibodies (mAbs) against Domain 3 (D3) of Pfs48/45 have been structurally and functionally described; however, in-depth information about other inhibitory epitopes on Pfs48/45 is currently limited. Here, we present a 3.3 Å resolution cryo-electron microscopy structure of full-length Pfs48/45 in complex with potent mAbs targeting Domain 1 (D1) and D3, and a moderately potent mAb targeting Domain 2 (D2). Our data indicate that while Pfs48/45 D1 and D2 are rigidly coupled, there is substantial conformational flexibility between D2 and D3. Characterization of mAbs against D1 revealed the presence of a conformational epitope class that is largely conserved across Pf field isolates and is associated with recognition by highly potent antibodies. Our study provides comprehensive insights into epitopes across full-length Pfs48/45 and has implications for the design of next-generation malaria transmission-blocking vaccines and antibodies.
Evaluation of the EMulate Therapeutics Voyager’s ultra-low Radiofrequency Energy (ulRFE) in Murine Model of Glioblastoma (GBM)
Authors: Mukthavaram Rajesh , Jiang Pengfei , Pastorino Sandra , Nomura Natsuko , Lin Feng , Kesari Santosh 
Published: November 2023

Abstract
Background: Glioblastoma (GBM) presents as an aggressive brain cancer, notorious for its recurrence and resistance to conventional treatments. This study aimed to assess the efficacy of the EMulate Therapeutics Voyager®, a non-invasive, non-thermal, non-ionizing, battery-operated, portable experimental medical device, in treating GBM. Using ultra-low radiofrequency energy (ulRFER) to modulate intracellular activity, previous preliminary results in patients have been encouraging. Now, with a focus on murine models, our investigation seeks to elucidate the device's mechanistic impacts, further optimizing its therapeutic potential and understanding its limitations.
Methods: The device employs a silicone over molded coil to deliver oscillating magnetic fields, which are believed to interact with and disrupt cellular targets. These fields are derived from the magnetic fluctuations of solvated molecules. Xenograft and syngeneic murine models were chosen for the study. Mice were injected with U-87 MG or GL261 glioma cells in their flanks and were subsequently treated with one of two ulRFE cognates: A1A, inspired by paclitaxel, or A2, based on murine siRNA targeting CTLA4 + PD1. A separate group of untreated mice was maintained as controls.
Results: Mice that underwent treatments with either A1A or A2 exhibited significantly reduced tumor sizes when compared to the untreated cohort.
Conclusion: The EMulate Therapeutics Voyager® demonstrates promising potential in inhibiting glioma cells in vivo through its unique ulRFE® technology and should be further studied in terms of biological effects in vitro and in vivo.
Research and Application of Anti-Theft Technology in Electricity Consumption Areas
Authors: Xiangtan WU , Liju YIN 
Published: November 2023

Abstract
From the actual situation of the electricity-using area, we analyze several common ways of electricity theft and the basic principles of electricity theft, systematically summarize and analyze the causes and corresponding characteristics of electricity theft, and put forward some effective anti-theft techniques according to the design of electricity theft technology, which has important social significance and economic value for the future development of anti-theft work.
Effect of Liquefaction on shallow foundations during 2001 Bhuj earthquake at Kutch (Gujarat), India
Authors: Amin Milind , Singh Manendra 
Published: November 2023

Abstract
Liquefaction, the temporary loss of strength in saturated sand causing it to behave like a liquid, leads to devastating consequences, including the settling, tilting, or collapsing of structures built on loose, saturated soil. The 2001 Bhuj earthquake witnessed extensive liquefaction in regions such as the Great Rann of Kutch, Banni Plains, Kandla, and Gulf of Kutch, resulting in substantial damage to various infrastructures, including bridges, docks, buildings, embankments, and dams. This study employs a finite element approach to analyse the behaviour of shallow foundations on liquefying subsoil in Kutch during the 2021 earthquake. The investigation focuses on ring footings with inner radii of 0.25 m, 0.5 m, and 0.75 m, as well as an outer radius of 1 m, alongside a circular foundation with a 1 m radius. Notably, the ring footing with a radius ratio of 0.5 exhibits the least settlement under static loads, underscoring that liquefaction-induced settlement for ring footings is significantly less than that for circular footings.
ReTimeML: A retention time predictor that supports the LC-MS/MS analysis of sphingolipids.
Authors: Allwright Michael , Guennewig Boris , Hoffmann Anna , Rohleder Cathrin , Jieu Beverly , Chung Long , Jiang Yingxin , Wimmer Bruno Lemos , QI Yanfei , Don Anthony , Leweke Franz-Markus , Couttas Timothy 
Published: November 2023

Abstract
The analysis of ceramide (Cer) and sphingomyelin (SM) lipid species using liquid chromatography-tandem mass spectrometry (LC-MS/MS) continues to present challenges as their precursor mass and fragmentation can correspond to multiple molecular arrangements. To address this constraint, we developed ReTimeML, a freeware that automates the expected retention times (RTs) for Cer and SM lipid profiles from complex chromatograms. ReTimeML works on the principle that LC-MS/MS experiments have pre-determined RTs from internal standards, calibrators or quality controls used throughout the analysis. Employed as reference RTs, ReTimeML subsequently extrapolates the RTs of unknowns using its machine-learned regression library of mass-to-charge (m/z) vs RT profiles, which does not require model retraining for adaptability on different LC-MS/MS pipelines. We validated ReTimeML RT estimations for various Cer and SM structures across different biologicals, tissues and LC-MS/MS setups, exhibiting a mean variance between 0.23 and 2.43% compared to user annotations. ReTimeML also aided the disambiguation of SM identities from isobar distributions in paired serum-cerebrospinal fluid from healthy volunteers, allowing us to identify a series of non-canonical SMs associated between the two biofluids comprised of a polyunsaturated structure that confers increased stability against catabolic clearance.
Differential sedimentary evolution of typical aulacogens of Meso-Neoproterozoic in North China craton
Authors: Tan Cong , Lyu Qiqi , Wang Tongshan , Li Qiufen , Jiang Hua , Yan Xue 
Published: November 2023

Abstract
Many countries and regions in the world have obtained industrial oil flow in the Meso-Neoproterozoic sedimentary strata and formed commercial exploitation in recent years,. The development horizon of high-quality source rocks in the Proterozoic in North China can be compared with the international, indicating that the Meso-Neoproterozoic in North China has great exploration potential. The sedimentary characteristics of typical aulacogen in multiple cratons in the Meso-Neoproterozoic North China Craton are compared and studied by using field outcrop data, drilling data and analysis and test data, aiming to provide sedimentary support for the prediction of oil and gas distribution and evaluation of exploration field in the Meso-Neoproterozoic in this area. The results show that there are four sedimentary systems in the study area, including Marine clastic rock sedimentary system, Marine carbonate sedimentary system, Marine-continental transitional facies sedimentary system and glacial sedimentary system. They are divided into seven sedimentary facies types: barrier coastal facies, non-barrier coast facies, shallow shelf facies, carbonate platform facies, reef facies, fan delta facies and glacial facies, and further divided into 15 subfacies and 21 microfacies. On this basis, the Meso-Neoproterozoic sedimentary filling sequences of two typical aulacogens, Yanliao and Xiong 'er, in the study area are clarified, showing that the formation time of each sedimentary filling sequence stage of different aulacogens is different, and the rock characteristics, lithology combination, lithologic structure, contact relationship, vertical sequence and sedimentary facies assemblage of the same sedimentary filling sequence stage are obviously different. The filling characteristics of the two aulacogens completely record the geological events related to the breakup of the Colombian supercontinent.
An Integrative Bioinformatics Pipeline for NHANES Data Processing for Machine Learning Analysis of Oral Health Outcomes
Authors: Orlenko Alena , Mure Justin D , Gluch Joan I , Gregg John , Compher Charlene W , Koo Hyun , Moore Jason H 
Published: November 2023

Abstract

Large database sources, such as the National Health and Nutrition Examination Survey (NHANES), while being a great utility for epidemiological studies, pose challenges for machine learning due to data heterogeneity, varied sample sizes, missing values/outliers and variations in data collection and interpretation requiring thorough data-quality assessment and cleaning. In addition, complex disease outcomes often display a high degree of clinical heterogeneity, necessitating deeper phenotypic subtyping. Here, we develop an integrated data cleaning-subtype discovery pipeline with unsupervised learning algorithms for comprehensive analysis and network-based/clustering visualization of data patterns and data outcomes. We apply this pipeline to NHANES, one of the largest curated repositories of population-level health-related indicators which includes a physical examination, blood biochemistry, self-reported surveys, and dietary intake data. We focus our investigations on dental caries which remains the most prevalent chronic disease affecting more than 3.5 billion people worldwide. Our multidimensional pipeline declutters and optimizes the NHANES data, including redundant variable types, to streamline data integration and create a ‘machine learning-ready’ version of the report. In addition, this approach reveals data patterns that led to the discovery of previously unrecognized subtypes and variables associated with the clinical phenotype heterogeneity of dental caries. We observed diverging patterns of similarity within different age groups and different variable subsets, while deriving unexpected associations of sleep deprivation and specific laboratory markers and the disease. Altogether, we report a comprehensive data processing approach that can guide the development of more precise and robust machine learning predictive models for dental caries and other health conditions from NHANES.
FAM83B Regulates Mitochondrial Metabolism and Anti-Apoptotic Activity in pulmonary adenocarcinoma
Authors: Wang Jiajia , Li Panpan , Sun Limin , Zhang Jing , Yue Ke , Wang Yan , Wu Xiaojuan 
Published: November 2023

Abstract
Background:Chemotherapy is an effective therapeutic modality; nevertheless, a significant proportion of patients diagnosed with lung adenocarcinoma (LUAD) demonstrate resistance to chemotherapy. Therefore, it is crucial to understand the potential regulatory mechanisms to develop novel treatment strategies.
Methods: Multiple assays, such as CCK8, wound healing, EdU, and transwell assays, were employed to confirm the augmented chemotherapy resistance, heightened cell proliferation, migration, and invasion caused by FAM83B overexpression in LUAD cells. Furthermore, MIMP, MTG, and ATP assays were utilized to quantify changes in mitochondria metabolism. In vitro functional assays were performed to evaluate the influence of FAM83B overexpression on the malignant progression and resistance mechanisms to chemotherapy in LUAD.
Results: In the context of this study, it was determined that LUAD patients with increased FAM83B expression had shorter survival times, and tissue samples with FAM83B overexpression were more prone to metastasis compared to primary samples. As a result, FAM83B is identified as an adverse prognostic marker. The mechanistic analysis demonstrated that FAM83B impedes the translocation of calbindin 2 (CALB2) from the cytoplasm to the mitochondria, resulting in the inhibition of apoptosis and the promotion of mitochondrial activity. Consequently, this ultimately confers resistance to chemotherapy in LUAD. Furthermore, the administration of metformin, which blocks mitochondrial oxidative phosphorylation (OXPHOS), can restore sensitivity to drug resistance in LUAD.
Conclusions: Taken together, these findings provide substantial evidence supporting the notion that FAM83B enhances chemotherapy resistance in LUAD through the upregulation of mitochondrial metabolism and the inhibition of apoptosis.
Primary Splenic Diffuse Large B Cell Lymphoma A case report and literature review of a rare condition
Authors: Seijari Mohammed Najdat , Kaspo Samer , Alshurafa Awni , Elfaieg Amro , Elkourashy Sarah A. 
Published: November 2023

Abstract

Primary splenic lymphoma represents a rare lymphoproliferative disorder that involves the spleen, exhibiting diverse clinical presentations and lacking a clear consensus in terms of management strategies. We present the case of a 52-year-old patient with a complex medical history, marked by multiple chronic medical conditions. The patient was diagnosed with primary splenic lymphoma, specifically the diffuse large B-cell subtype. Treatment for our patient involved a shortened course of chemotherapy (4 cycles of R-CHOP followed by two doses of rituximab) due to issues related to compliance and treatment-related complications. This was followed by consolidative radiotherapy, without resorting to splenectomy. Remarkably, the patient achieved complete resolution, and a positron emission tomography (PET) scan conducted at the end of the 6-month post-treatment period confirmed sustained complete remission.
Value Chain Analysis of Utis (Alnus Nepalensis) From Eastern Nepal: A Farm Forest Perspective
Authors: Basnet Ritesh Bhushan , Gautam Jeetendra , Shapkota Jun , Ghimire Pramod 
Published: November 2023

Abstract
This study has explored the value chain of Alnus nepalensis (Utis) of Tehrathum district which has become an important timber product since last two decades. Two case studies were selected each from the 6 subdivision forest offices of Tehrathum district. Data were collected through combination of social survey methods and mixed method research involving participatory techniques, questionnaire surveys, and on- site observations. Participatory Rural Appraisal and questionnaire tools were used in data collection. The data were grouped as observational data and presentational data. The Focal Group Discussion and Key Informants Interviews were conducted following purposeful sampling. The data obtained were analyzed qualitatively and the breakdown of timber and its subsequent prices were done quantitatively. SWOT analysis was employed for the analysis of value chain. From this study it was found that the pricing of trees was affected by three variables: location, access, and distance to destination. Conversion of trees to logs required more investment than the price of trees itself, which amounted to around NRs 130 million. In a year between 2021 mid-April to 2022 mid-April, 37,912 Alnus nepalensis trees were sold to plywood and veneer industries with a volume of 15,37,686.95 cubic foot. Value Added Tax was NRs 49,974,826/- collected at Tehrathum district. Approximately NRs 240 million was injected to the rural economy by the Alnus nepalensis trade. Sincere efforts are needed towards strategic, tactical, operational, and structural overhaul in the ways private forests are being operated.