bluuebunny/crossref_metadata_2025 huggingface dataset:
Percepatan Penyelesaian Proyek Menggunakan Metode Fast-Track (Studi Kasus: Proyek Gedung Serbaguna PLBN Entikong Kalimantan Barat)
Authors: Wiharti Wiwik , Winanda Lila , Munasih Munasih , Wijayaningtyas Maranatha
Published: September 2022

Construction projects have unique, dynamic, and complex characteristics; therefore, frequent inaccuracies between planning and implementation are found. It generates a budget change as a consequence. Project delays also occurred in Entikong PLBN Multi Purposes Building Project, West Kalimantan; therefore, an “addendum” time had to be submitted for the 31st week. According to the identified problems, the purpose of this study is to analyze the time acceleration to achieve project time reduction and cost savings. The analytical approach uses a fast-track method widely applied and proven effective in time reduction through overlapping the critical activities. The result of the project schedule shows that the normal duration of 359 days turned into 302 days; therefore, a reduction in time of 57 days can be obtained. Time reduction through project acceleration was 15,88% without causing an overallocated resource. The time reduction impacts project cost efficiency, especially in indirect cost savings of Rp 17.345.955. Implementing the fast-track method by paying attention to the allocation and availability of resources provides an optimal schedule. Thus, the risk of unrealized activities due to acceleration can be minimized.

ABSTRAK

Proyek konstruksi memiliki karakteritik unik, dinamis dan kompleks,sehingga sering ditemukan ketidaktepatan antara perencanaan dan pelaksanaan. Pada saat waktu penyelesaian proyek tidak sesuai dengan perencanaan, hal ini membawa konsekuensi pada perubahan pembiayaan proyek. Keterlambatan proyek juga terjadi pada proyek gedung serbaguna PLBN Entikong, Kalimantan Barat sehingga harus dilakukan addendum waktu pada minggu ke-31. Berdasarkan pada permasalahan yang teridentifikasi, maka tujuan dari penelitian ini adalah menganalisis percepatan waktu sehingga diperoleh pengurangan waktu pekerjaan dan penghematan biaya proyek. Pendekatan analisis menggunakan metode fast-track dimana telah banyak diimplementasikan dan terbukti secara efektif dalam mereduksi waktu penyelesaian dengan menata aktivitas-aktivitas kritis secara tumpang tindih (overlapping). Hasil penjadwalan proyek menunjukkan bahwa durasi normal proyek selama 359 hari menjadi 302 hari, sehingga terjadi reduksi sebanyak 57 hari. Pengurangan waktu dengan melakukan percepatan adalah sebesar 15,88% tanpa menyebabkan overallocated sumber daya. Pengurangan waktu berdampak pada efisiensi biaya proyek, yaitu penghematan biaya tidak langsung sebesar Rp 17.345.955. Penerapan metode fast-track dengan memperhatikan alokasi dan ketersediaan sumber daya, dapat memberikan jadwal yang optimal. Dengan demikian resiko tidak terlaksananya aktivitas akibat percepatan dapat diminimalkan.
Analisa Kerusakan Jalan pada Lapis Permukaan Lentur Menggunakan Metode Pavement Condition Index (PCI) (Studi Kasus Jalan Sriwijaya Kabupaten Jember)
Authors: Maliq Tatang Maulana , Kriswardhana Willy , Trisiana Anita , Supriono Lyya
Published: September 2022

The causes of road damage are overloaded vehicles, puddles of water on the road surface caused by a poor drainage system, and the implementation of construction work that is not in accordance with the plan. In addition, improper handling of maintenance, both in terms of handling priorities and financing, is also the cause of road damage. Temperature, air, water, and rain as well as the poor initial quality of road products also greatly affect the road life causing it to be shorter or not according to the design life. Sriwijaya road is an urban road located in the road network of the Jember city area. Based on the results of the preliminary survey, there are significant differences in road surface conditions on these roads. This study aims to identify the type of damage and analyses the level of damage to the road surface on Sriwijaya road using the Pavement Condition Index (PCI) method. Of the 20 segments that have been determined, the results of the study show that road damage occurs in segments 11-16 with moderate and bad levels of damage, and in segments 18 with serious damage levels. There are 7 types of road damage, including aggregate wear, crocodile cracking, block cracking, edge cracking, peeling, sinking, lumps, and sunken with high damage levels.

ABSTRAK

Penyebab kerusakan jalan adalah beban kendaraan yang berlebihan, terjadi genangan air di permukaan jalan yang diakibatkan oleh sistem drainase yang kurang baik, dan pelaksanaan pekerjaan konstruksi yang tidak sesuai dengan perencanaan. Selain itu penanganan pemeliharaan yang kurang tepat baik dalam hal prioritas penanganan dan pembiayaan juga menjadi penyebab kerusakan jalan. Suhu, udara, air, dan hujan serta mutu awal produk jalan yang jelek juga sangat mempengaruhi sehingga menyebabkan umur jalan lebih pendek atau tidak sesuai umur rencana. Jalan Sriwijaya adalah jalan perkotaan yang berada di jaringan jalan kawasan kota Kabupaten Jember. Berdasarkan hasil survei pendahuluan, terjadi perbedaan kondisi permukaan jalan yang signifikan pada ruas jalan tersebut. Penelitian ini bertujuan untuk mengidentifikasi jenis kerusakan dan menganalisis tingkat kerusakan permukaan jalan pada ruas Jalan Sriwijaya menggunakan Metode Pavement Condition Index (PCI). Dari 20 segmen yang telah ditentukan, hasil penelitian menunjukkan kerusakan jalan terjadi pada segmen 11 – 16 dengan tingkat kerusakan sedang dan buruk, dan pada segmen 18 dengan tingkat kerusakan serius. Terdapat 7 jenis kerusakan jalan, antara lain pengausan agregat, retak buaya, retak blok, retak pinggir, pengelupasan, amblas, benjol dan cekung dengan tingkat kerusakan yang tinggi.
Pengaruh Pengaruh Substitusi Lateks (Getah Karet) Terhadap Kinerja Karakteristik Lapis Aspal Beton (Laston) dengan Kombinasi Filler Abu Arang Tempurung Kelapa
Authors: Dewi Fillia Indah Kumala , Budiati Anik
Published: September 2022

Asphalt concrete is a combination of continuous aggregate gradation with hard asphalt binder (DPUPR, 2014). Asphalt concrete is a combination of aggregate, and asphalt, with or without additives. Latex and coconut shell charcoal ash was chosen as additives because they are abundantly available and easy to obtain. This study used a latex percentage of 1%; 2%; and 3%, as well as filler from coconut shell charcoal of 1%; 1.5%, and 2%. The aim of the study was to obtain the effect of the substitution of latex (rubber sap) and filler from coconut shell charcoal on the performance characteristics of asphalt concrete (laston). Material testing methods and marshall testing are guided by Bina Marga 2018. To get the optimum asphalt content (KAO) it is tested with three variations of the percentage of asphalt content and is obtained at 5%. This value is then used for Marshall stability testing with additives. The test results show that the substitution of latex and coconut shell charcoal filler can increase the value of marshal stability and flexibility of the mixture at 3% latex and charcoal ash content. These results are in accordance with the characteristics of the lastton in the 2018 Bina Marga Specifications.

ABSTRAK

Aspal beton merupakan gabungan gradasi agregat menerus dengan bahan pengikat aspal keras (DPUPR, 2014). Aspal beton merupakan gabungan  dari agregat, aspal, dengan atau tanpa bahan tambahan. Lateks dan abu arang tempurung kelapa dipilih sebagai bahan aditif karena melimpah ketersediaan dan mudah didapat. Penelitian ini menggunakan prosentase  lateks sebesar 1%; 2%; dan 3%, serta filler dari arang tempurung kelapa sebesar 1%; 1,5%, dan 2%. Tujuan Penelitian untuk mendapatkan pengaruh substitusi lateks (getah karet) dan filler dari arang tempurung kelapa terhadap kinerja karakteristik aspal beton (laston). Metode pengujian material dan pengujian marshall berpedoman pada Bina Marga 2018. Untuk mendapatkan kadar aspal optimum (KAO) diujikan dengan tiga variasi prosentase kadar aspal dan di dapatkan sebesar 5%. Nilai ini selanjutnya digunakan pengujian stabilitas marshall dengan bahan aditif. Hasil pengujian menunjukkan bahwa substitusi lateks dan filler arang tempurung kelapa dapat menambah nilai stabilitas marshal dan fleksibilitas campuran pada kadar lateks dan abu arang 3%. Hasil tersebut sesuai dengan karakteristik laston dalam Spesifikasi Bina Marga 2018.
What can parents do? The causal mediating role of parenting in explaining SES differences in children's language development
Authors: Rodríguez Sánchez Alejandra
Published: September 2022

Objective: This study estimates how much of the differences by socioeconomic status (SES) in children’s language development are mediated by parenting styles, parenting practices, and parental investments.
Background: There are large differences in children’s language development by parental socioeconomic status (SES). According to some studies, SES gaps in language skills among preschoolers could be reduced substantially by intervening in the parenting styles, practices, and parental investments of low-SES parents. However, the extent to which parenting mediates the effects on language skills of growing up in low-SES contexts is still unknown.
Method: This paper uses data from the National Educational Panel Study starting cohort 1, a random sample of children born between 2012 and 2013 in Germany and employs interventional causal mediation analysis to estimate the mediated share of the total effect of SES on children’s language that goes through parenting, broadly understood.
Results: Parenting explains around one-third of the total effect of SES on early language skills, but close to nothing of the effect on later language skills.
Conclusion: Although a share of the SES effect operates through parenting, and all parenting dimensions affect children’s language skills, interventions in parenting would be limited in their ability to reduce the gap in substantial ways. Alternative pathways, through which inequality in language skills is reproduced, could potentially explain a larger share of this effect.
Die Philosophisch-Theologischen Hochschulen Bayerns in der Zeit des Nationalsozialismus mit besonderer Berücksichtigung der Philosophisch-Theologischen Hochschule Bamberg
Authors: Müller Pascal
Published: September 2022

Die bayerischen Philosophisch-Theologischen Hochschulen stellen eine Sonderform der akademischen Bildungseinrichtungen Deutschlands dar. Sie standen sowohl im Einflussbereich des Staates als auch der katholischen Kirche. Sie waren hauptsächlich – aber nicht ausschließlich – Einrichtungen, an denen Theologen ausgebildet wurden. Vor diesem Hintergrund wird im ersten Teil der Arbeit untersucht, ob und wie eine Beeinflussung der bayerischen Philosophisch-Theologischen Hochschulen und damit auch des Priesternachwuchses durch den Nationalsozialismus forciert wurde. Im zweiten Teil der Arbeit werden Akten des Universitätsarchiv Bamberg zur Philosophisch-Theologischen Hochschule Bamberg ausgewertet und anhand dessen dargelegt, wie sich die Einflussnahme des Nationalsozialismus konkret an der Bamberger Hochschule auswirkte.
THE CORRELATION AMONG HUMAN MILK DONOR, BOTTLE FEEDING, AND BREASTFEEDING STATUS OF MOTHER OF 0-6 MONTHS INFANTS IN YOGYAKARTA, INDONESIA
Authors: Widyaningrum Rachmawati , Wienarno Elievia , Khofifah Hesti , Herliyanti Yuni , Wahyuni Zly
Published: September 2022

ABSTRACT
Background: Human milk donor (HMD) works as temporary support before the mother could breastfeed independently and meet the exclusive breastfeeding (EBF) status on their own. However, caregivers commonly use bottle feeding to give breast milk substitutes for the baby. although it might increase the risk of nipple confusion and disturb the breastfeeding (BF) process. Objectives: this research aimed to explore the relationship between HMD, bottle-feeding, and the BF status of the mother of infants aged 0-6 months in Daerah Istimewa Yogyakarta (DIY). Methods: This is a cross-sectional research using online questionnaires with the link available in social media for four months (December 2020-March 2021), with a total participant number of 123. Data were analyzed using the Kolmogorov-Smirnov and chi-square test. Results: There was no significant correlation between HMD-recipient status and EBF (p=0.080). However, it has a significant relationship with prolonged BF insufficiency (p=0.000; RR=3.214; CI=1.020-4.082). The bottle-feeding utilization was signified as a risk factor for both non-EBF (p=0.020; RR=2.524; CI=1.090-5.844) and prolonged BF insufficiency (p=0.021; RR=2.103; CI=1.073-4.123). Conclusion An approach to use appropriate feeding media through lactation support for the mothers is essential, particularly in HMD practices.
ABSTRAK
Latar Belakang: Donor Air Susu Ibu (ASI) merupakan salah satu alternatif sementara sebelum ibu dapat menyusui dan mencapai status ASI Esklusif secara mandiri. Namun demikian, dot merupakan media yang sering digunakan oleh pengasuh untuk memberi makan bayi meskipun hal ini dapat meningkatkan resiko bingung puting dan mengganggu proses menyusui.  Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan antara Donor ASI, penggunaan dot, dan status menyusui Ibu dari bayi berusia  0-6 bulan di DIY Metode: Penelitian ini merupakan studi cross sectional yang menggunakan kuesioner online dengan link yang tersedia di sosial media selama 4 bulan (Desember 2020- Maret 2021). Jumlah total responden 123 orang. Data diolah menggunakan uji statistik Kolmogorov-smirnov dan chi square. Hasil: Hasil penelitian menunjukkan bahwa tidak ada hubungan yang signifikan antara Donor ASI dan ASI Esklusif (p=008) namun Donor ASI memiliki hubungan dengan keberlanjutan ketidakcukupan ASI (p=0.000; RR=3.214; CI=1.020-4.082). Penggunaan dot memiliki hubungan yang signifikan baik pada status tidak ASI Esklusif (p=0.020; RR=2.524; CI=1.090-5.844) dan keberlanjutan ketidakcukupan ASI (p=0.021; RR=2.103; CI=1.073-4.123). Kesimpulan:  Perlu adanya upaya untuk mengedukasi penggunaan media yang tepat untuk pemberian makan bayi melalui proses dukungan menyusui bagi ibu, terutama pada praktik Donor ASI.
Genome-edited rabbit, a prospective alternative model for neurological diseases
Authors: Zhang Zhongtian , Song Yuning , Lai Liangxue , Li Zhanjun
Published: September 2022

Animal models have great importance in the research of human neurodegenerative diseases due to their value in symptom mimicking, mechanism investigation, and preclinical tests. Although non-human primate and large animal models have good performance in disease modeling due to their high maintenance cost and critical ethical standards, rodent models are commonly used. Rodent models have been successfully applied in modeling many neurological diseases; however, their genetic background, neuroanatomical features, and nervous system development are different from those of humans. Moreover, the short lifespan and small body size of rodent models also limit the monitoring of disease progression and observation of clinical symptoms in studying neuronal disorders that are late-onset or have a long course of progression. In comparison with rodents, rabbits are phylogenetically closer to humans and have closer similarities to humans in brain development, thus are an alternate animal model for human neurological diseases.
Deep reinforcement learning for real-world quadrupedal locomotion: a comprehensive review
Authors: Zhang Hongyin , He Li , Wang Donglin
Published: September 2022

Building controllers for legged robots with agility and intelligence has been one of the typical challenges in the pursuit of artificial intelligence (AI). As an important part of the AI field, deep reinforcement learning (DRL) can realize sequential decision making without physical modeling through end-to-end learning and has achieved a series of major breakthroughs in quadrupedal locomotion research. In this review article, we systematically organize and summarize relevant important literature, covering DRL algorithms from problem setting to advanced learning methods. These algorithms alleviate the specific problems encountered in the practical application of robots to a certain extent. We first elaborate on the general development trend in this field from several aspects, such as the DRL algorithms, simulation environments, and hardware platforms. Moreover, core components in the algorithm design, such as state and action spaces, reward functions, and solutions to reality gap problems, are highlighted and summarized. We further discuss open problems and propose promising future research directions to discover new areas of research.
Highly Sensitive Strain Sensor by Utilizing a Tunable Air Reflector and the Vernier Effect
Authors: Mumtaz Farhan , Roman Muhammad , Zhang Bohong , Lashari Ghulam Abbas , Ashraf Muhammad Aqeel , Dai Yutang , Huang Jie
Published: September 2022

A highly sensitive strain sensor based on tunable cascaded Fabry-Perot interferometers (FPIs) is proposed and experimentally demonstrated. Cascaded FPIs consist of a sensing FPI and a reference FPI which effectively generate the Vernier Effect (VE). The sensing FPI comprises a hollow core fiber (HCF) segment sandwiched between single-mode fibers (SMFs), and the reference FPI consists of a tunable air reflector, which is constituted by a computer programable fiber holding block to adjust the desired cavity length. Simulation results predict the dispersion characteristics of modes carried by HCF. The sensor’s parameters are designed corresponding to a narrow bandwidth range, i.e., 1530 nm to 1610 nm. Experimental results demonstrate that the proposed sensor exhibits optimum strain sensitivity of 23.9 pm/με in the range of 0 to 3000 με which is 13.73 times higher than the single sensing FPI strain sensitivity of 1.74 pm/με. The strain sensitivity of the sensor can be further enhanced by extending the source bandwidth. The proposed sensor exhibits ultra-low temperature sensitivity of 0.49 pm/°C in the wider temperature range of 25 °C to 135 °C, providing good isolation for eliminating cross-talk between strain and temperature. The sensor is very robust, cost-effective, easy to manufacture, repeatable, and shows a highly linear and stable response in the wider range of axial strain. Based on the sensor’s performance, it may suit plenty of practical applications in the real sensing world
Natural Language Processing Application on Commit Messages: A Case Study on HEP Software
Authors: Yang Yue , Ronchieri Elisabetta , Canaparo Marco
Published: September 2022

Version Control and Source Code Management Systems, such as GitHub, contain large amount ofunstructured historical information of software projects. Recent studies have introduced Natural Language Processing (NLP) to help software engineers retrieve information from very large collection of unstructured data. In this study, we have extended our previous study by increasing our datasets and ML and clustering techniques. Method: We have followed a complex methodology made up of various steps. Starting from the raw commit messages we have employed NLP techniques to build a structured database. We have extracted their main features and used as input of different clustering algorithms. Once labelled each entry, we have applied supervised machine learning techniques to build a prediction and classification model. Results: We have developed a machine learning-based model to automatically classify commit messages of a software project. Our model exploits a ground-truth dataset which includes commit messages obtained from various GitHub projects belonging to the HEP context. Conclusions: The contribution of this paper is two-fold: it proposes a ground-truth database; it provides a machine learning prediction model. They automatically identify the more change-proneness areas of code. Our model has obtained a very high average precision, recall and F1-score.
UN ENFOQUE ECOSISTÉMICO DEL DERECHO AMBIENTAL ARGENTINO EN LA CORTE SUPREMA DE LA NACIÓN
Authors: Porcelli Adriana Margarita , Martínez Adriana Norma
Published: September 2022

El presente artículo de revisión tiene por objetivo el desarrollo doctrinario y jurisprudencial en Argentina de una postura que promueve un diálogo entre la ecología y el derecho, denominada ecologización del derecho ambiental y la consecuente integración de la justicia ecológica con la ambiental para lograr una efectiva protección de la Naturaleza. Para cumplir con dicho objetivo, la metodología se basó en la investigación documental y en el método de estudio de casos jurisprudenciales, específicamente de las últimas sentencias de la Corte Suprema de Justicia Argentina y el análisis comparativo de los fundamentos de sus decisorios. Como conclusión, se puede evidenciar que el Tribunal Supremo comenzó a transitar un camino en pos de la efectiva protección del planeta consistente en atemperar el antropocentrismo propio del derecho ambiental, reorientándolo al biocentrismo y ecocentrismo.
Sedimentary Response to Climate Change in the Central Bay of Bengal since the Last Glacial Maximum
Authors: Ye Wenxing , Liu Shengfa , Li Jingrui , Zhang Hui , Cao Peng , Li Xiaoyan , Khokiattiwong Somkiat , Kornkanitnan Narumol , Fan Dejiang , Shi Xuefa
Published: September 2022

As the largest submarine fan, the Bay of Bengal (BoB) captures the abundant environment and climate fingerprints on different time scales. To investigate the sedimentary response to climate change since the Last Glacial Maximum (LGM), an integrated survey was performed to study grain size, major, and trace elements (Al2O3, CaO, K2O, Na2O, TiO2, Sr, and Rb) of core BoB-24 sediments from the central BoB. The (K/Al)-TiO2 (%) relationship of the sediments was taken for the discrimination of provenance, which indicated that sediments from core BoB-24 in 24~6.5 cal ka BP were primarily from terrigenous material input from the Himalayas. In contrast, the material contribution from the Indian subcontinent increased distinctly since 6.5 cal ka BP. The rising sea level severed direct material supply, thus causing the evolution of sediment provenance of the central BoB. Meanwhile, the strengthened Indian summer monsoon (ISM) in the Holocene affected detrital material transport from offshore to the central BoB. After understanding the sediment provenance in the study, we choose the sensitive grain-size fraction to show the evolution of hydrodynamic conditions. The chemical index of alteration (CIA) and Ti/Ca and Rb/Sr ratios are calculated to indicate the change in terrigenous input and weathering intensity. The contents of sediment fraction from 11.05 to 15.63 μm, CIA, and ratios of Ti/Ca and Rb/Sr in core BoB-24 showed the same trends, which were low during the last deglaciation and late Holocene but high in the Early Holocene. The trends were strongly correlated with the variation of the Indian summer monsoon, indicating the possible impact of Indian monsoon on sediment transport in the Bay of Bengal. Alternative indicators such as the contents of ratios of Ti/Ca and Rb/Sr, CIA, and sensitive grain-size content in sediments of core BoB-24 jointly record the evolution history of ISM since 24 ka BP in the Bay of Bengal. Although the sensitivity and response of each indicator to the paleoenvironment and paleoclimate change are slightly different, on the whole, the change trend is the same. Specifically, four warm-cold alternating periods (Heinrich Event 1, Bølling/Allerød, Younger Dryas, and Early Holocene Climatic Optimum) had a strong signal in these proxies that indicated that the millennial-scale climate controls the terrigenous input to the Bay of Bengal, where a high value occurs in warm events and low value in cold events. The sedimentary pattern of the northeastern Indian Ocean provides scientific evidence for an insight into the regional response to global climate change and the long-term climate change trend of the human environment across the monsoon region.
Reservoir Properties Alteration in Carbonate Rocks after In-Situ Combustion
Authors: Mukhametdinova A. , Karamov T. , Popov E. , Burukhin A. , Kozlova E. , Usachev G. , Cheremisin A.
Published: September 2022

This study summarizes the work conducted as a part of laboratory modeling of in-situ combustion (ISC) experiments on cores from carbonate heavy oil fields. Porosity, permeability, fluid saturation, thermal, and geochemical properties are crucial characteristics of the target field defining the performance of the combustion technology. Here, we report the changes in reservoir properties, porous structure, and mineral composition of the rock samples induced by the thermal exposure and registered by a set of standard and advanced experimental techniques. Most combustion tests are conducted on the crushed core pack, which does not accurately represent the reservoir properties. In this paper, we present the results of three combustion tube tests (classic ISC and consecutive hot-water treatment ISC) involving actual field core samples. Gas porosimetry, nuclear magnetic resonance (NMR), and microcomputed tomography (μCT) revealed an increase in total porosity and pore size distribution and enabled visualizing the changes in the porous core structure at nano- and microlevels. X-ray diffraction (XRD) and scanning electron microscopy (SEM) demonstrated the change in mineral composition and lithological texture as a result of dolomite decomposition; Rock-Eval pyrolysis and elemental analysis were utilized to confirm the changes in the rock matrix. Optical scanning registered the changes in thermal conductivity (TC) of samples, which is important for numerical modeling of the combustion process. The proposed core analysis has proved its efficiency in providing a complete petrophysical description of the core of a heavy oil carbonate reservoir in the framework of evaluation of the ISC application for dolomite-rich carbonates and demonstrated the different responses of rock to the ISC technology.
Application of Artificial Intelligence in Static Formation Temperature Estimation
Authors: Al-Fakih Abdulrahman , Kaka SanLinn
Published: September 2022

This study presents a new model to predict the static formation temperature at multiple oil fields using multiple machine learning algorithms. Results are compared with the real temperatures obtained from two wells. The model developed in this study predicts static formation temperature according to several machine learning algorithms including artificial neural networks, fuzzy logic, k-nearest neighbors, and random forest algorithms. The following are the key findings: various geothermal wells in distinct fields or formations may have different machine learning connections. However, if a connection is defined using adequate field data, it is clear that static formation temperature can be approximated with great accuracy. Based on machine learning models, we developed a novel model for forecasting static formation temperature, examined the modeling data and outcomes, and found that Random Forest, Fuzzy logic, and K-nearest neighbors outperformed Artificial Neural Network. Therefore, the performance of the proposed model for estimating static well temperature achieved a mean absolute percentage (AAPE) of 0.003%, and the coefficient of determination (R 2 ) is 0.99%. When the classical (mathematical) methods were compared to the artificial intelligence methods, the artificial intelligence methods produced more accurate results with varying percentages. The findings generated by the unique new model computation and the measured test data are substantially matched when compared to computed data and observed temperature data. The novelty of this newly developed AI model is that it will serve as a practical and inexpensive tool for SFT determination in geothermal and petroleum wells.
First Strike personalized predictive radioiodine prescription for inoperable metastatic differentiated thyroid cancer
Authors: Kao Yung Hsiang
Published: September 2022

The authors have requested that this preprint be removed from Research Square.
Climatological Drought Analyses Using Spi, Deciles, Ppn, Edi and Rainy Days in Chile
Authors: Pinto Rodrigo Hernan Ojeda , Baecheler Jose Vargas , Gutierrez-Lopez Alfonso
Published: September 2022

Since 2010, a large area of Chile is in a period of severe drought, with impacts on the population and the water resource systems. Therefore, it is necessary to carry out research on drought behavior in Chile, its prediction and monitoring, should be addressed to find suitable measures to reduce its effects. A simple calculation model is presented for the SPI, PPN, DEC and EDI indexes. Based on the hypothesis that these indexes are an indicator of the drought condition in the central-southern area of Chile; the proposed model takes as the only input variable the cumulative number of raining days. The most efficient index for the model is identified, the study is regionalized and temporal and spatial analysis of the model is carried out. A modified index of drought is obtained, based on a simple rainfall day counter. The model represents an efficient method to show a drought event.
Clinical verification of the relationship between serum lipid metabolism and immune activity in breast cancer patients treated with neoadjuvant chemotherapy
Authors: Goto Wataru , Kashiwagi Shinichiro , Takada Koji , Asano Yuka , Ogisawa Kana , Morisaki Tamami , Shibutani Masatsune , Tanaka Hiroaki , Maeda Kiyoshi
Published: September 2022

Background: The have been recent reports that lipid metabolism affects the prognosis and tumor immune activity in cancer patients. However, the effect of lipid metabolism on chemosensitivity in patients with breast cancer treated with neoadjuvant chemotherapy (NAC) remains unclear.
Methods: We examined 327 patients with breast cancer who were treated with NAC followed by curative surgery. The correlations between the serum levels of total cholesterol (TC) and triglyceride (TG) and the clinicopathological features, including the efficacy of NAC, neutrophil-to-lymphocyte ratio (NLR), and absolute lymphocyte count (ALC), were evaluated retrospectively.
Results: Serum TG levels were increased after NAC in all the subtypes, and the rate of change was the highest, especially in triple-negative breast cancer (TNBC) (21.0% → 48.1%). In addition, only TNBC patients with an objective response (OR) had significantly higher TG levels after NAC than those without (P = 0.049). Patients with a high ALC before NAC had significantly higher TG levels after NAC than patients with breast cancer (P = 0.001), HER2-enriched breast cancer (P = 0.021), and TNBC (P = 0.008). Patients with a low NLR before NAC had significantly higher TG levels after NAC only among patients with TNBC (P = 0.025). In patients with human epidermal growth factor receptor 2-enriched breast cancer, the group with normal TC levels before NAC had significantly better OS than those with high TC levels (P = 0.013, log-rank test), and in patients with TNBC, the group with high TC levels after NAC had significantly better OS than those with normal TC levels (P = 0.014, log-rank test).
Conclusions: Good systemic immune activity and chemosensitivity may be associated with lipid metabolism regulated by NAC in TNBC patients.
The Role of Micro-Enterprises in the Four-Dimensional Framework of Women's Empowerment
Authors: M Jain Jacob , Munuswamy Shanmugam
Published: September 2022

This paper empirically evaluates the impact of micro-enterprises on women's empowerment. A quantitative research approach and a cross-sectional research design were adopted in the study. Survey research and purposive sampling technique were used to select 384 individual respondents (women entrepreneurs under the Kudumbashree Mission of Kerala state in India). The data gathered from a structured questionnaire was used for confirmatory factor analysis, model fit evaluation, and making a structural equation model to test the proposed relationship in the four-dimensional model of women's empowerment. The study asserts that micro-enterprises play an important role as they can contribute to women's empowerment by providing opportunities for employment.. In order to establish an enterprise more successful and sustainable, women should be taught entrepreneurial skills, technical knowledge, skill training, and marketing skills. The study discovered a strong correlation between the performance of micro-enterprises and women empowerment attributes. The study aids the government and policymakers in better understanding and implementing strategies to boost women’s micro-enterprises, resulting in the overall empowerment of marginalized women.
On Non-Penalization SEMDOT Using Discrete Variable Sensitivities
Authors: Fu Yun-Fei , Long Kai , Rolfe Bernard
Published: September 2022

Density-based topology optimization algorithms, such as solid isotropic material with penalization (SIMP), pursue solid/void solutions to yield distinct topologies, however blurry or zigzag boundaries are unavoidable. By contrast, newly developed elemental volume fraction based algorithms pursue solid/void grid points, and the intermediate elements, consisting of both solid and void grid points, are artificially defined as boundary elements through which smooth boundaries can be formed. Smooth-Edged Material Distribution for Optimizing Topology (SEMDOT) algorithm is a typical elemental volume fraction based method developed based on the SIMP framework. However, the current version of SEMDOT needs to use the material penalization scheme in SIMP to facilitate the distinction of solid, void, and boundary elements. This framework restriction has motivated the development of the non-penalized SEMDOT algorithm to establish the physically meaningful relation between the elemental volume fraction and its material property. This study adopts discrete variable sensitivities for solid, void and assumed boundary elements instead of continuous variable sensitivities to eliminate the material penalization scheme and obtain efficient smooth topological layouts. The efficiency, effectiveness, and general applicability of the proposed non-penalized SEMDOT algorithm are demonstrated in three case studies containing compliance minimization, compliant mechanism design, and heat conduction problems, as well as thorough comparisons with penalized SEMDOT. The numerical results show that the convergency of non-penalized SEMDOT is stronger than penalized SEMDOT, and improved results can be obtained by non-penalized SEMDOT.
Confirmatory Validation of the French Version of the Duchenne Muscular Dystrophy Module of the Pediatric Quality of Life Inventory (PedsQL TM 3.0DMDvf)
Authors: Wallach Elisabeth , Ehlinger Valerie , Biotteau Maelle , Walther-Louvier Ulrike , Péréon Yann , Vuillerot Carole , Fontaine Stephanie , Sabouraud Pascal , Espil-Taris Caroline , Cuisset Jean-Marie , Laugel Vincent , Baudou Eloïse , Arnaud Catherine , Cances Claude
Published: September 2022

Duchenne muscular dystrophy (DMD) is a neuromuscular disease that inevitably leads to total loss of autonomy. The new therapeutic strategies aim to both improve survival and optimize quality of life. Evaluating quality of life is nevertheless a major challenge. No DMD-specific quality of life scale to exists in French. We therefore produced a French translation of the English Duchenne muscular dystrophy module of the Pediatric Quality of Life Inventory (PedsQLTMDMD) following international recommendations. The study objective was to carry out a confirmatory validation of the French version of the PedsQLTMDMD for pediatric patients with DMD, using French multicenter descriptive cross-sectional data. The sample consisted of 107 patients. Internal consistency was acceptable for proxy-assessments, with Cronbach's alpha coefficients above 0.70, except for the Treatments dimension. For self-assessments, internal consistency was acceptable only for the Daily Activities dimension. Our results showed poor metric qualities for the French version of the PedsQLTMDMD based on a sample of about 100 children, but these results remained consistent with those of the original validation. This confirms the interest of its use in clinical practice.
Determinants of processors' bamboo utilization level: The case of Bahir Dar city and Injibara town, Ethiopia
Authors: Dessie Tsadiku Setegne , Yimer Ahmed Mohammed , Ali Mohammed Yimam
Published: September 2022

Bamboo is a crucial non-timber forest resource, having a ubiquitous purpose applied in any sectors & can be anything products and plays the greatest role in the economic, social and ecological aspects and considered as a key of alleviating poverty for it can be utilized at all level industry. The bamboo resource is highly available in Ethiopia but it is underutilized. So the main objective of the study was to examine the determinants of processors' bamboo utilization level. An explanatory research design was employed to examine the effects of processors' awareness level, market demand, financial capacity, technological accesses, supporting market, and market linkage on the processors’ bamboo utilization level measured by bamboo product variety. The data was collected from bamboo processors via questioner held by trained data collectors from the entire bamboo processors found in Bahir Dar city and Injibara town and it was analyzed using ordinal logistic regression on SPSS 20 software package. The study revealed and concluded that access to technology, supporting market, processors’ awareness level, and financial capacity was a statistically significant determinant and positively affect bamboo utilization level, but market demand and market linkage were not statistically significant determinant. The study recommended that the government at each level shall give policy-based support & attention, and responsible agencies like TVED, MSE, trading and agricultural bureaus cooperating with the federal government and INBAR should prepare manuals, videos leaflets, skill-oriented training and experience sharing programs. The future researcher should extend the current study by adding more variables on expanded targets using other models by considering the interaction effects of independent variables, also they can conduct comparative studies of bamboo utilization level among different bamboo processors in different regions found in Ethiopia.
Impact of HIV infection and integrase strand transfer inhibitors-based treatment on the gut virome
Authors: Villoslada-Blanco Pablo , Pérez-Matute Patricia , Íñiguez María , Recio-Fernández Emma , Jansen Daan , Coninck Lander , Close Lila , Blanco-Navarrete Pilar , Metola Luis , Ibarra Valvanera , Alba Jorge , Matthijnssens Jelle , Oteo José A.
Published: September 2022

Introduction: Viruses are the most abundant components of the human gut microbiome with a significant impact on health and disease. The impact of human immunodeficiency virus (HIV) infection on the gut virome has been scarcely analysed and several studies suggested that integrase strand transfers inhibitors (INSTIs) are associated with a healthier gut. Thus, the objective of this work was to evaluate the effects of HIV infection and INSTIs on the gut virome composition. Methods: 26 non-HIV-infected volunteers, 15 naive HIV-infected patients and 15 INSTIs-treated HIV-infected patients were recruited and their gut virome composition was analysed using shotgun sequencing. Results: Bacteriophages are the most abundant and diverse viruses in gut. HIV infection was accompanied by a decrease in phage richness which was reverted after INSTIs-based treatment. β-diversity of phages revealed that samples from HIV-infected patients clustered separately from those belonging to the control group. Differential abundant analysis showed an increase in phages belonging to Caudoviricetes class in the naive group and a decrease of Malgrandaviricetes class phages in the INSTIs-treated group compared to the control group. Besides, it was observed that INSTIs-based treatment was not able to reverse the increase of lysogenic phages associated with HIV infection or to modify the decrease observed on the relative abundance of Proteobacteria-infecting phages. Conclusions: Our study describes for the first time the impact of HIV and INSTIs on the gut virome and demonstrates that INSTIs-based treatments are able to partially restore gut dysbiosis at the viral level, which opens several opportunities for new studies focused on microbiota-based therapies.
Employees’ use of social networking sites and job performance
Authors: Asnakew Zeleke Siraye , Elias Yibeltal , Abebe Tiruneh , Andualem Mulusew
Published: September 2022

This study was designed to explore the purpose to which employees use social networking sites and examine its effect on their performance. Using data from 203 respondents, exploratory factor analysis was conducted to identify the specific activities employees undertake using social networking sites during work hours. Moreover, multiple regression analysis was conducted to examine the effects of each social networking site activities, total time spent by employees on social networking sites and the number of social networking site accounts on their job performance. Six dimensions of social networking sites use at work were identified: Social networking sites use for work related activities, social networking sites use for commenting and status updating, social networking sites use for social interaction, social networking sites use for self-expression, social networking sites use for entertainment and social networking sites use for political activities. Moreover, results revealed that the total time spent on social networking sites, social networking sites use for political activities and entertainment negatively affected employees’ job performance while Social networking sites use for work and socialization were found to positively affect employees’ job performance. No significant relationship was found between job performance and social networking sites use for self-presentation and status updating.
Catalytic reduction of 4-nitrophenol using Cu/Cu 2 O nanocomposites based on magnetic maize straw
Authors: Yu Yang , Guo Hong , Wang Pengyuan , Zhai Shangru , Han Jiazhi , Li Wangquan , Wang Yuanhao , Wang Yi
Published: September 2022

In this work, a novel copper-based nanocomposite catalyst was fabricated via magnetic maize straw as a support for the reduction of 4-nitrophenol(4-NP). Magnetic maize straw was prepared by the amidation reaction of amine-functionalized magnetite nanoparticles (NH2-Fe3O4) with succinylated maize straw (S-MS). After magnetic succinylated maize straw (Mag-S-MS) was mixed with cupric ions aqueous solution, Cu(II) could be captured by the amino and carboxylate groups and reduced by sodium borohydride (NaBH4). The reduction product of Cu(II) was characterized by scanning electron microscopy (SEM), energy disperse spectroscopy (EDS), X-rays diffraction (XRD), X-ray photoelectron Spectroscopy (XPS), and thermogravimetric analysis (TGA), which indicated binary Cu/Cu2O nanocomposites (NCs) were formed successfully on Mag-S-MS without self-aggregation and oxidation. Then it was investigated as a catalyst for the reduction of 4-NP to 4-aminophenol (4-AP) via hydrogenation using NaBH4 as a reducing agent. The effect of the dosage of the catalyst, the initial concentrations of NaBH4 and 4-NP were investigated. The mechanic investigation proposed Cu and Cu2O nanoparticles played a synergistic role on the hydrogen and electron transformation to enhance its catalytic ability. Compared with other reported catalysts, Cu/Cu2O NCs-loaded-Mag-S-MS possessed a higher catalytic efficiency for the higher rate constant value. Due to its superparamagnetic nature, it could be quickly collected from the aqueous solution under a magnetic field and it maintained relatively high catalytic activity after five cycle tests. The present study outlines a method for using agricultural waste in nano catalytic reaction.
Leveraging state-of-the-art engines for large-scale data analysis in High Energy Physics
Authors: Padulano Vincenzo Eduardo , Kabadzhov Ivan Donchev , Saavedra Enric Tejedor , Guiraud Enrico , Alonso-Jordá Pedro
Published: September 2022

The Large Hadron Collider (LHC) at CERN has generated a vast amount of information from physics events, reaching peaks of TB of data per day which are then sent to large storage facilities. Traditionally, data processing workflows in the High Energy Physics (HEP) field have leveraged grid computing resources. In this context, users have been responsible for manually parallelising the analysis, sending tasks to computing nodes and aggregating the partial results. Analysis environments in this field have had a common building block in the ROOT software framework. This is the de facto standard tool for storing, processing and visualising HEP data. ROOT offers a modern analysis tool called RDataFrame, which can parallelise computations from a single machine to a distributed cluster while hiding most of the scheduling and result aggregation complexity from users. This is currently done by leveraging Apache Spark as the distributed execution engine, but other alternatives are being explored by HEP research groups. Notably, Dask has rapidly gained popularity thanks to its ability to interface with batch queuing systems, widespread in HEP grid computing facilities. Furthermore, future upgrades of the LHC are expected to bring a dramatic increase in data volumes. This paper presents a novel implementation of the Dask backend for the distributed RDataFrame tool in order to address the aforementioned future trends. The scalability of the tool with both the new backend and the already available Spark backend is demonstrated for the first time on more than two thousand cores, testing a real HEP analysis.
How Managers of Kenyan-based Agribusiness Firms Perceive Matching Funds for Innovation Financing
Authors: Amukoa Susan Akinyi , Ecuru Julius , Lagat Job Kibiwot
Published: September 2022

Agribusiness innovation is vital for economic growth and diversification, and funds to support it are a major point of debate among innovation scholars and policy makers. Most investors or donors require agribusiness firms to provide matching funds contribution either in kind or cash to the innovation projects they finance. An explorative study of 12 Kenyan based agribusiness firms providing matching funds contributions revealed that managers of the firms perceive matching funds for financing their innovation to be a good thing because it shows their commitment to the project, promotes ownership, and contributes to longer term utilization of project results. This notwithstanding, the study further showed that majority of the agribusiness firms did not have policies to inform their decisions on matching funds contribution. Managers considered future business opportunity the project would create, and if the project was well aligned with the firm’s core business. The study established that matching funds contributions can be improved if firms properly quantify in-kind matching funds, and by strengthening enforcement of matching funds requirement. The paper provides preliminary empirical evidence of feasibility of implementing a matching funds scheme for agribusiness innovation financing in Kenya.
Key words: agribusiness, financing, firms, innovation, matching funds, Kenya.
Generated Artificial General Intelligence--The Philosophical Principle of Artificial General Intelligence and Give an Example
Authors: Chao Ma
Published: September 2022

The authors have requested that this preprint be removed from Research Square.