Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Placement of a Terrestrial Laser Scanner with an Emphasis on Reducing Occlusions

In this paper, a new automated algorithm is proposed that finds the optimum locations of a terrestrial laser scanner (TLS), ensuring completeness of data and minimising the number of scanning locations. The process starts with an initial scan and placing a 3D grid of candidate stations over the entire scan area. A global visibility analysis is then performed to identify the next best view (NBV) location. The TLS is placed on this selected point and a new scan is recorded. Having updated the initial scan with the resulting point cloud, the model is checked for completeness and density. The process is repeated until full coverage of the scan area is achieved by determining the best global arrangement with the minimum number of stations. Experiments show that the algorithm is able to automatically determine the station positions and provide a coverage of 99·5% for simulated data and 91% for real data.
Multi-Layer Model Predictive Optimization of Energy Efficient Building Microgrids

This paper introduces a multi-layer model predictive optimization (mLMPO) framework for energy management of building microgrids with Internet of Things (IoT)-enabled dispatchable loads and Distributed Energy Resources (DERs). The goal is to achieve high energy efficiency and demand response capability, while satisfying occupants’ comfort. Due to the diversity of on-site resources and complexity of occupancy modeling, traditional building management systems (BMS) cannot always optimize energy efficiency and maintain occupant comfort simultaneously. This paper will address this gap and develop a new framework for implementing mLMPO in building microgrids. The data from a large academic building in California is used for simulation studies. The results of this paper can provide a road map for co-optimization of energy efficient and occupants comfort in IoT-enabled smart buildings and microgrids.
A study on the TEC perturbations prior to the Rei-Li, Chi-Chi and Chia-Yi earthquakes

Three large earthquakes struck central Taiwan near the towns of Rei-Li on 17 July 1998, Chi-Chi on 20 (21 for local time) September 1999 and Chia-Yi on 22 October 1999, respectively. These earthquakes severely damaged structures heavily changed landforms and disturbed geophysical environments. In this paper, a procedure is introduced to derive the ionospheric total electron content (TEC) from data recorded by a network of the Global Positioning System (GPS) in Taiwan. Based on the network data, the latitude-time-TEC (LTT) plots prior to the three earthquakes are constructed. The plots show that during 1-4 days prior to the three earthquake onsets, the TEC values decrease and the anomaly crests move toward the equator.
RELATIONS BETWEEN GRACE-DERIVED WATER STORAGE CHANGE WITH PRECIPITATION AND TEMPERATURE OVER KAIDU RIVER BASIN, CHINA

Abstract. Water is essential for human survival and well-being, and important to virtually all sectors of the economy. In the aridzone of China’s west, water resource is the controlling factor on the distribution of human settlements. Water cycle variation is sensitive to temperature and precipitation, which are influenced by human activity and climate change. Satellite observations of Earth’s time-variable gravity field from the Gravity Recovery and Climate Experiment (GRACE) mission, which enable direct measurement of changes of total terrestrial water storage, could be useful to aid this modelling. In this pilot study, TWS change from 2002 to 2013 obtained from GRACE satellite mission over the Kaidu River Basin in Xinjiang, China is presented. Precipitation and temperature data from in-situ station and National Satellite Meteorological Centre of China (NSMC) are analysed to examine whether there is a statistically significant correlation between them.
ANALISIS KEPERCAYAAN DAN PENANGANAN KELUHAN TERHADAP LOYALITAS PADA KONSUMEN LAZADA DI KOTA BATAM

Penelitian ini bertujuan untuk menganalisis pengaruh kepercayaan dan penanganan keluhan terhadap loyalitas konsumen pada konsumen Lazada di kota Batam dengan menggunakan data primer berupa kuesioner yag diisi oleh sampel yang berjumlah 100 orang. Hasil dari distribusi kuesioner menunjukan data valid dan reliabel pada semua variable yang diteliti. Hasil dari uji t menunjukan bahwa variabel kepercayaan menunjukan hasil positif dan signifikan secara parsial. Pada uji F dinyatakan bahwa variabel kepercayaan dan penanganan keluhan berpengaruh positif dan signifikan secara simultan. Sedangkan pada uji koefisien determinasi didapatkan hasil senilai 0,648 atau 64,8% yang berarti bahwa variabel kepercayaan dan penangan keluhan berpengaruh sebesar 64,8% terhadap variabel loyalitas pelanggan, sedangkan sisanya dipengaruhi oleh variabel lain yang tidak diteliti dalam variabel ini.
How Teachers’ Performance Predicted by Contingent and Postmodern Leadership at School

Leadership style is assumed to be one of the significant variables that impact the performance of teachers, as well as other aspects at school. The study aimed to inquire into the association connecting the school contingent and postmodern leadership models and teachers' performance, as well as the indication of those school leadership approaches on teachers' performance. The quantitative approach was the method used in the empirical study. A structured survey based on the Questionnaire of the leadership model (Atsebeha, 2016), and a systematic nonrandom sample of teachers (N = 279) and headmasters (N = 87) were selected to gather the quantitative data. The relationship linking contingent and postmodern leadership style with teachers’ performance was inquired using Pearson correlation, and linear bivariate regression. It is revealed that as per teachers 0.7% of the variation in teachers' performance is explained by contingent leadership; meanwhile, in compliance with principals, 3.7% of the variance in teachers’ performance is disclosed by contingent leadership. It is also indicated that as per teachers 7.4% of the variation in teachers' performance is described by postmodern leadership; meanwhile, in compliance with principals, 29.8% of the variation in teachers’ performance is described by postmodern leadership. Therefore, the schools needed to promote contingent and postmodern leadership approaches as important variables that indicate partly teachers’ performance. The results of the research study amplified the understanding that contingent and postmodern leadership models are important variables that affect partly teachers' performance.
Primary Bladder Non-Hodgkin Lymphoma: A Case Report

Primary bladder lymphoma, a rare form of non-Hodgkin’s lymphoma, is diagnosed through histopathology and immunostaining. Most bladder lymphomas are of the B-cell type, with a higher incidence in women and often presenting with hematuria. This report details an exceptionally rare case of primary bladder T-cell lymphoma. A 50-year-old male, without hematuria or other symptoms, was diagnosed during a routine ultrasound. A computed tomography scan showed a tumor located in the anterior, right, and posterior walls. The patient underwent transurethral resection of the bladder lesion. Pathological examination of the tumor showed that it was composed of lymphoid tissue, in accordance with peripheral T-cell lymphoma of non-Hodgkin subtype.
Improving Multi-label Classification Performance on Imbalanced Datasets Through SMOTE Technique and Data Augmentation Using IndoBERT Model

Sentiment and emotion analysis is a common classification task aimed at enhancing the benefit and comfort of consumers of a product. However, the data obtained often lacks balance between each class or aspect to be analyzed, commonly known as an imbalanced dataset. Imbalanced datasets are frequently challenging in machine learning tasks, particularly text datasets. Our research tackles imbalanced datasets using two techniques, namely SMOTE and Augmentation. In the SMOTE technique, text datasets need to undergo numerical representation using TF-IDF. The classification model employed is the IndoBERT model. Both oversampling techniques can address data imbalance by generating synthetic and new data. The newly created dataset enhances the classification model's performance. With the Augmentation technique, the classification model's performance improves by up to 20%, with accuracy reaching 78%, precision at 85%, recall at 82%, and an F1-score of 83%. On the other hand, using the SMOTE technique, the evaluation results achieve the best values between the two techniques, enhancing the model's accuracy to a high 82% with precision at 87%, recall at 85%, and an F1-score of 86%.
The Dilemma of Audience Attendance of Niche Sports Events and Its Solutions: The Curling Sport as an Example

With the rapid development of Chinese sports industry, popular sports such as basketball and table tennis have attracted a wide range of audiences and gained widespread attention and support. In contrast, some sports with relatively small scale of operation and small audience groups, such as curling, still face the dilemma of audience attendance. Past studies have focused on attendance analysis and development of marketing strategies for popular sports, resulting in niche sports being gradually marginalized and receiving less and less attention. This study aims to take curling as an example, using the problem-tracking method in case studies and the literature review method to help niche sports find practical ways to get out of the dilemma of low attendance. The author analyzes the differences in economic volume between sports to find out the differences in the level of importance; finds out the generation mechanism of low attendance based on the influence of celebrity benefits, consumer income theory and the effect of the national team's performance; and applies the stakeholder theory and the sports community thery to find feasible solutions for the curling tournament organizers, marketers and the government.
THE ROLE OF ESG DISCLOSURE PRACTICES IN INVESTMENT DECISIONS

Purpose: This study explores the role of ESG disclosure practices on investment decisions, focusing on how this information is used by investors for risk assessment and informed choice. It is essential for expanding knowledge about the monetary advantages of sustainable activities. In order to support investors, enhance their ESG practices and promote a more ethical and sustainable business environment, the research attempts to provide insightful analysis and actionable suggestions. Design: This paper delivers a thorough examination of the role served by ESG disclosure practices during the entire process of investment decision-making. Moreover, it furnishes insights pertaining to the advantages, challenges, opportunities for enhancement, and prospective developments linked to these practices. Finding: The findings from the case study unveil novel perspectives on how ESG disclosure practices influence investment decision-making, offering potential assistance to investors in refining their strategies and cultivating a financial system with a stronger emphasis on sustainability. This significantly expands ESG integration knowledge, offering valuable insights for stakeholders pursuing a sustainable financial future. Originality value: ESG disclosure has a crucial part in investment decisions by providing valuable information about a companys ESG performance. This information helps assess risks and opportunities, identify investment themes, and determine effective choices. Companies with robust ESG disclosure attract and retain investors, while investors factoring in ESG considerations enhance their potential for long-term returns. Paper type: Case Study KEYWORDS: ESG (Environmental, Social, and Governance), Investment decision, SWOT Analysis, individual investors, ESG integration.
Pacific Slope Cretaceous bivalves: eight venerid species

Four new venerid species from the Cretaceous of the North American Pacific Slope are described and four previously described species are reassigned. Of the new species, two are allotted to new genera: Rhaiphiale based upon Rhaiphiale pharota n. sp. and Egrona based upon Egrona fallax n. sp. , both Turonian in age and from southern California. The other new species are Loxo quintense n. sp. , of late Maastrichtian age from California, and Paraesa cedrina n. sp. , late Albian in age from Baja California, Mexico. The previously described species “Meretrix” arata Gabb, 1864, Turonian, and “? Meretrix” fragilis Gabb, 1869, late Maastrichtian, are placed in the new genus Callistalox; “Meretrix” lens (Gabb, 1864), Campanian age, and Flaventia zeta Popenoe, 1937, Turonian, are provisionally assigned to Paraesa Casey, 1952. This is the first identification of Paraesa from the Pacific Slope of North America. No species of Flaventia Jukes-Brown, 1908, is now known in Pacific Slope faunas.
Innovation environment as a key factor in the development of the region's innovative potential

Object: The regional innovation environment, as the major factor, is the object of research for the development of innovative potential.Methods: This article uses such research methods as generalization, comparison, systematization and statistical analysis.Results: It is important to reveal regional features, the group of factors that contribute to the development of innovative potential in an innovative environment. The innovation environment is considered from the point of view of the institutional, corporate and educational innovation environment that promotes effective innovation in the region. The basic factors at the micro-, meso-, macro levels that have a positive effect on the development of the region's innovation environment are revealed. The main indicators of innovation activity and dynamics of internal expenditures on research in Kazakhstan for 2015–2019 are analyzed in order to determine the significance of the educational innovation environment.Conclusions: The conclusion is made about the importance of educational, institutional and corporate innovation environments based on the identified activities. The rational use and development of innovative potential is possible only when the studied factors of the innovation environment interact, which will allow us to concentrate all the obvious and hidden opportunities of the region into a single innovation system.
A review of the scientific literature on riparian buffer width, extent and vegetation

2 The Office of Public Service and Outreach at the Institute of Ecology provides scientific and legal expertise to the citizens of Georgia in the development of policies and practices to protect our natural heritage. The goals of the office are to: • Develop and implement a research agenda to meet community needs; • Provide an opportunity for students, faculty and staff to work with other disciplines in integrated environmental decisionmaking and problem-solving to improve their ability to understand, communicate with, and influence other disciplines; • Build capacity for service learning in the sciences by providing students an opportunity to apply skills learned in the traditional classroom setting to pressing community concerns and problems; • Support high quality science education in K-12 schools by providing programs for students and instructional support and training for teachers; • Increase awareness of the importance of addressing environmental issues proactively within the university community and the greater community. Many local governments in Georgia are developing riparian buffer protection plans and ordinances without the benefit of scientifically-based guidelines. To address this problem, over 140 articles and books were reviewed to establish a legally-defensible basis for determining riparian buffer width, extent and vegetation. This document presents the results of this review and proposes several simple formulae for buffer delineation that can be applied on a municipal or county-wide scale. Sediment is the worst pollutant in many streams and rivers. Scientific research has shown that vegetative buffers are effective at trapping sediment from runoff and at reducing channel erosion. Studies have yielded a range of recommendations for buffer widths; buffers as narrow as 4.6 m (15 ft) have proven fairly effective in the short term, although wider buffers provide greater sediment control, especially on steeper slopes. Long-term studies suggest the need for much wider buffers. It appears that a 30 m (100 ft) buffer is sufficiently wide to trap sediments under most circumstances, although buffers should be extended for steeper slopes. An absolute minimum width would be 9 m (30 ft). To be most effective, buffers must extend along all streams, including intermittent and ephemeral channels. Buffers must be augmented by limits on impervious surfaces and strictly enforced on-site sediment controls. Both grassed and forested buffers are effective at trapping sediment, although forested buffers provide other benefits as well. Buffers are short-term sinks for phosphorus, but over the long term their effectiveness is limited. In many cases …
Efficacy and Safety of Lumbar Drainage before Endovascular Treatment for Ruptured Intracranial Aneurysms

Objective Intraoperative rebleeding during endovascular treatment for ruptured intracranial aneurysms is associated with poor prognosis. Lumbar drainage is performed preoperatively to control intracranial pressure; however, it is associated with a risk of brain herniation or rebleeding because intracranial pressure may change rapidly. Therefore, this study aimed to examine the efficacy and safety of preoperative lumbar drainage. Methods This retrospective study enrolled 375 patients who underwent endovascular treatment of ruptured intracranial aneurysms at our institution between April 2013 and March 2018. The incidence of rebleeding and clinical outcomes were compared between patients who did and did not undergo preoperative lumbar drainage. Results Among the 375 patients with ruptured intracranial aneurysms, 324 (86.0%) and 51 (14.0%) patients did and did not undergo lumbar drainage, respectively. The incidence of rebleeding was 11/324 (3.4%) and 2/51 (3.9%) in lumbar drainage and nonlumbar drainage groups, respectively, with no statistical differences (p = 0.98). Of the rebleeding cases, 9/11 (81%) and 2/2 (100%) in lumbar drainage and nonlumbar drainage groups, respectively, were due to intraoperative bleeding, and 2/11 (19%) in the lumbar drainage group, the causes of the rebleeding were undetermined. The incidence of symptomatic vasospasm did not differ significantly between the groups (13.2% vs. 11.8%, P = 0.776), while the incidence of hydrocephalus (24.6% vs. 11.8%, P = 0.043) and meningitis (15.2% vs. 5.9%, P = 0.075) were slightly higher in the lumbar drainage group. Favorable clinical outcomes (modified Rankin Scale score <2) at discharge were less frequent in the lumbar drainage group (55.3% vs. 70.0%, P = 0.051). No significant differences were observed in the propensity score-matched analysis. Conclusion Lumbar drainage before endovascular treatment for ruptured intracranial aneurysms is a safe procedure that does not increase the incidence of rebleeding.
Effectiveness of Basak (Adhatoda vasica) Leaf Extract on Growth Performance and Heamato-Biochemical Profile of Sonali Chicken

This research was done to find out how supplementing with basak (Adhatoda vasica) leaf extract affected Sonali chickens’ growth performance and carcass qualities. 180 chickens in all were divided into four dietary experimentation groups at random, with each group taking up three replications. Dietary groups included control (T0), basak at 2 ml/L of water (T1), basak at 4 ml/L of water (T2), and basak at 6 ml/L of water (T3), respectively. A total of 63 days into the experiment, two birds from each replication were randomly chosen and slaughtered to measure the carcass characteristics. The collected data were analysed using ANOVA with SPSS version 25. Weekly live weight and feed consumption data were also gathered throughout the trial. Across the experimental groups, there was no discernible difference in initial body weight (P>0.05). The greatest value was recorded at T2 (908.10±3.03g) in comparison to the other three experimental groups, and the final live weight was substantially different among the experimental groups (P>0.05). The difference in total body weight gain across the experimental groups was statistically significant (P>0.05), with the T2 group recording the greatest result (873.48±0.720 g) when compared to the other three groups. Total feed intake varied significantly between the treatment groups. The T1 group had the best feed conversion ratio (1.827±0.03), and there were significant differences in feed conversion ratio across the experimental groups (P>0.05). The experimental groups significantly differed from one another in terms of daily live weight gain (P>0.05). There were significant differences in the weights of the carcass, breast, drumstick, thigh, and wings across the various treatment groups (P>0.05). The lipid profile was significantly different (P>0.05) among the dietary treatment groups. Net profit was found to significantly (P>0.05) differ across the experimental groups, with the T2 group achieving the greatest value (66.52 tk) and the T0 group having the least price (44.58 tk). Therefore, basak leaf extract may be supplemented with basal feeds to enhance the carcass yield, growth performance, and net profit of sonali chicken.
METHODS OF GENETIC TRANSFORMATION: MAJOR EMPHASIS TO CROP PLANTS

Advancements in gene transfer technology have indeed opened up exciting possibilities for more effectively manipulating the genetic makeup of live organisms, ranging from microorganisms to plants and animals. Direct and indirect transformations are the two basic types of gene transfer techniques. Indirect method comprises Agrobacterium mediated method as it involves intermediate host between gene of interest and target and this method is most opted one out of all present. Direct gene transformation methods, on the other hand, do not involve the use of an intermediate host organism. Instead, they rely on physical means to transfer genes between cells. Biolistic transformation uses high-velocity particles to deliver DNA into target cells, while microinjection and macroinjection involve the direct injection of DNA into cells. Protoplast fusion combines the genetic material of two different cells by fusing their protoplasts. Natural methods for gene transfer encompass mechanisms that occur naturally in various organism, includes transposition, conjugation, phage and retroviral transductions and bacterial transformation. Chemical techniques utilize chemical agents to facilitate gene transfer, such as calcium phosphate-mediated transformation, polyethylene glycol (PEG)-mediated transformation, DEAE (Diethylethanolamine)-Dextran-mediated transformation. Genes can be also being transferred using electrical techniques such as electroporation and electrofusion. Crop improvement and trait improvement are now being hastened by the fast-rising number of sequenced plant genomes, information from functional genomics data to understand gene function, innovative gene cloning, and tissue culture techniques. Despite being indispensable, its progress is still hindered by the fact that many plant species and agricultural genotypes exhibit low transformability or are resistant to established tissue culture and regeneration conditions. Here, we review the techniques employed in plant transformation and provide a concise overview of their evolution in agricultural crops, from their first inception to present time.