bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pendampingan Sadar Wisata dan Pembuatan Jalur Interpretasi Wisata Trekking di Desa Sirnajaya, Kecamatan Sukamakmur, Kabupaten Bogor, Jawa Barat Melalui Program MBKM Membangun Desa Wisata
Authors: Quratuain Maesa 
Published: July 2023

Desa Sirnajaya, Kecamatan Sukamakmur, Kabupaten Bogor, Jawa Barat adalah salah satu destinasi wisata yang menarik untuk dikunjungi. Namun, untuk menjaga kelestarian alam dan budaya setempat, diperlukan tindakan yang tepat agar wisatawan dapat mengunjungi desa tersebut dengan cara yang bertanggung jawab dan berkelanjutan. Oleh karena itu, dilakukanlah program pendampingan sadar wisata dan pembuatan jalur interpretasi wisata trekking di Desa Sirnajaya.
Program ini bertujuan untuk mengedukasi wisatawan tentang sadar wisata, kearifan lokal, mengajarkan mereka cara menjaga alam dan budaya setempat, serta membuatkan jalur trekking untuk wisatawan. Program pendampingan sadar wisata dimulai dengan memberikan pelatihan kepada masyarakat setempat tentang cara melayani wisatawan dengan baik dan ramah. Selain itu, dibuatlah jalur interpretasi wisata trekking yang melalui rute alam dan budaya setempat.
Program ini diharapkan dapat menjaga kelestarian alam dan budaya setempat serta memberikan pengalaman wisata yang bertanggung jawab dan berkelanjutan bagi wisatawan. Dalam rangka menjaga keberlangsungan program ini, perlu dilakukan monitoring dan evaluasi secara berkala.
POMPA HIDRAM (POMPA AIR TANPA PENGGERAK ENERGI MEKANIK)
Authors: Anwar Irwan , Wardianto Dedi , Afdal Afdal 
Published: July 2023

Pompa hidram adalah pompa air dengan memanfaatkan energi potensial (EP = mgh) yang dipunyai oleh air karena ada perbedaan ketinggian letak dengan rumah pompa (elevasi) dan energi kinetik (EK = ½ mV2) yang terjadi ketika air mengalir dari reservoir sumber air di dalam pipa intake menuju rumah pompa hidram sehingga menimbulkan tekanan dinamik air atau palu air (water hammer) sehingga air tersebut dapat dipindah dari permukaan yang lebih tinggi dari rumah pompa (H2 = ± 50 meter s/d 500 meter dari rumah pompa.
Perbedaan elevasi ini minimal ± 1 meter debit air yang dipompakan (minimal) 7 liter tiap menit tergantung pada diameter Æ pompa dan tipe pompa yang dipasang. Secara matematik konstruktif pemasangan pompa ini standarnya panjang pipa intake (pipa masuk sama dengan 5 s/d 10 kali tinggi terjun air (H1 atau L intake = 5 s/d 10 x H1). H1 = tinggi terjun (vertikal faall) L intake = panjang pipa intake.
PENGUJIAN TURBIN ANGIN DENGAN VARIASI KECEPATAN ANGIN, PUTARAN MOTOR DAN PUTARAN GENERATOR DENGAN MENGGUNAKAN TEROWONGAN ANGIN JENIS HORIZONTAL 3 BLADE
Authors: Sulaiman Sulaiman , Gunawan April 
Published: July 2023

Wind tunnel (Terowongan) angin adalah peralatan uji berstruktur tabung dimana udara dipaksa melaju dengan sangat kencang yang mana untuk mempelajari efek aliranaerodinamis pada suatu objek benda, untuk melakukan pengujian menggunakan blade yang mana angin yang dipakai dengan kecepatan 3,4,5 dan 6 m/s. jenis blade dengan bahan kayu pinus, dengan Naca 4412, blade Naca 4412 dengan bahan resin epoxsy 70% + fiber glass 30%, blade Naca 4412 dengan bahan resin epoxsy 70% + fiber gllas 18% + serabut kelapa 12%, blade Naca 4712 dengan bahan resin epoxsy 70% + fiber glass 18% + serabut kelapa 12% dan blade Naca 5513 dengan bahan resin epoxsy 70% + fiber glass 18% + serabut kelapa 12%, Jenis Blade resin epoksi + fiber glass + coir Naca 4412 blade yang paling tinggi putarannya dibandingkan jenis blade yang lainnya yang telah di uji,dimana putaran generator pada kecepatan angin 3 m/s putaran generaotor yang telah di hitung rata-rata nya mencapai 545.29 Rpm, kecepatan angin 4 m/s putaran generator 708.9 Rpm, pada kecepatan angin 5 m/s putaran generator 928.94 Rpm, dan pada kecepatan angin 6 m/s putaran generator 928.94 Rpm.
Characterization of migration of organic contaminants within the groundwater polluted by underground coal gasification
Authors: Wang Fan , Chen Lunjian , Xu Bing , Ma Jiao , Xing Baolin , Su Faqiang , Shi Changliang 
Published: July 2023

Abstract

Underground coal gasification (UCG) is a promising technology, but the groundwater pollution caused by UCG is a potential risk to the environment. The measured results of the stratum in the combustion cavity resulting from UCG had proved that the combustion cavity would be filled with some UCG residues and caving rocks when UCG was finished. The pollutants in underground water around the combustion cavity include organic pollutants, inorganic pollutants, and ammonia nitrogen, and one of primary organic pollutants is phenol. The migration and diffusion characteristics of organic pollutant (taking phenol as representative) in the groundwater of the combustion cavity was investigated by breakthrough experiments and numerical simulations. The results show that the hydraulic conductivity of the coarse UCG residues is much than that of fine residues, and the hydraulic conductivity of the UCG residues with the size of -0.15 mm and 0.15–0.3 mm are 4.68×10− 6 m/s and 1.91×10− 4 m/s respectively. The dispersivity λ for the migration of organic pollutants will be influenced significantly by the size of UCG residues in fractures of the combustion cavity, while the distribution coefficient Kd will not. The dispersivity of organic pollutants in the fine UCG residues is more significant than that in the coarse residues, and the λ for the two kinds of residues are 3.868 and 1.765 cm, respectively. The shape of the migration path slightly affects the pollutant concentration distribution along the path, but the width of a path has a more pronounced influence on the concentration distribution. In this research, the influence was formulated by a new technical term, MPWIT related to transverse dispersion. Specifically, while the transverse dispersion values account for 20 and 10% of the longitudinal dispersion respectively the corresponding MPWIT values are 39.48 and 33.96 mm.
The Effect of Financial Development on Environmental Quality: A Developing Country Evidence
Authors: Wijethunga Ambepitiya Wijethunga Gamage Champa Nilanthi , Rahman Mohammad Mafizur , Dayaratne Debaherage Athula Indunil 
Published: July 2023

Abstract

Financial development is vital to enhance the inclusive growth of a country in the modern world, and environmental quality, affected by financial development, is also a highly debated topic. Thus, this study attempts to investigate the role of financial development in determining environmental quality in Sri Lanka considering other variables namely economic growth, energy consumption, trade openness, and foreign direct investments. The key econometric tool used for the purpose is the Autoregressive Distributive Lag (ARDL) approach with the data from 1992–2021. As per the findings, financial development, economic growth, energy consumption, and foreign direct investments adversely impact environmental quality in the long run and short run. Additionally, trade openness established a negative impact in the short run only. Importantly, the Environmental Kuznets’ Curve hypothesis and Pollution Haven Hypothesis are established. Finally, all variables except trade openness confirmed a unidirectional causal relationship with environmental quality. This study recommends that all the modelled variables are vital to enrich the environmental quality in Sri Lanka.
Deep Learning of Cell Spatial Organizations Identifies Clinically Relevant Insights in Tissue Images
Authors: Xiao Guanghua , Wang Shidan , Rong Ruichen , Yang Donghan , Zhang Xinyi , Zhan Xiaowei , Bishop Justin , Wilhelm Clare , Zhang Siyuan , Pickering Curtis , Kris Mark , Minna John , Xie Yang 
Published: July 2023

Abstract
Recent advancements in tissue imaging techniques have facilitated the visualization and identification of various cell types within physiological and pathological contexts. Despite the emergence of cell-cell interaction studies, there is a lack of methods for evaluating individual spatial interactions. In this study, we introduce Ceograph, a novel cell spatial organization-based graph convolutional network designed to analyze cell spatial organization (i.e. the cell spatial distribution, morphology, proximity, and interactions) derived from pathology images. Ceograph identifies key cell spatial organization features by accurately predicting their influence on patient clinical outcomes. In patients with oral potentially malignant disorders, our model highlights reduced structural concordance and increased closeness in epithelial substrata as driving features for an elevated risk of malignant transformation. In lung cancer patients, Ceograph detects elongated tumor nuclei and diminished stroma-stroma closeness as biomarkers for insensitivity to EGFR tyrosine kinase inhibitors. With its potential to predict various clinical outcomes, Ceograph offers a deeper understanding of biological processes and supports the development of personalized therapeutic strategies.
Understanding the difference, makes the difference:Perceptions of Black and Minoritised Ethnic Occupational Therapists on mentoring.
Authors: Atwal Anita , Elizabeth Mckay , Sri vimal 
Published: July 2023

Abstract

Introduction:
The need for social justice is ingrained in occupational therapy. Black and Minoritised Ethnicity (BME) occupational therapists face lower career progression opportunities and mentoring is one possible intervention that may offer support. BME persons may have different expectations and experiences from their mentor, and research exploring their perceptions of mentoring is important. The aim of this research is to learn about BME occupational therapists' experiences and perceptions of mentoring for career progression.
Methods:
Four online focus groups involving 19 participants were held, discussions were facilitated by researchers using a topic guide. Participants responses were analysed, and codes were brought together to create Themes including career progression and role models, mentoring relationship, similarity with the mentor and outcomes from mentoring.
Results:
The study highlighted that trust is integral to effective mentoring relationships and BME OTs want mentors who they can trust with their experiences and stories. Compatibility between mentors and mentees in terms of personality, values, and working styles is crucial for effective mentoring relationships. Providing opportunities for networking, acknowledging good work and giving permission were all seen as outcomes from good mentoring. The absence of BME role models and ingroup bias were also reported as issues to be addressed.
Conclusion:
This study explores the perception of mentorship as a mechanism for career advancement in Occupational Therapists from BME backgrounds, with these results transferable to other health and care professional groups. We recommend the creation of a mentoring charter for BME healthcare workers to ensure that those from BME backgrounds feel supported, mentored, and provided with equitable access to resources, including adequate mentoring and networking opportunities.
Ensuring feasible trajectories for the encapsulated motion control of automated vehicles
Authors: Homolla Tobias , Molinos Eduardo , Wang Lingguang , Winner Hermann , Stiller Christoph , Peters Steven 
Published: July 2023

Abstract
In this paper, it is investigated how the planning of physically feasible trajectories for automated vehicles can be ensured in a motion control architecture with separated planning and control stages. Within such an architecture, the planning stage shall not be adapted to a specific vehicle during development to assure reusability of developed algorithms. It is shown, that the planning stage does not need any information about downstream modules such as the controller and the actuators, as long as certain physical execution limits are considered during trajectory planning. For these constraints, a feedback loop from the control to the planning stage is proposed that ensures feasible trajectories, as long as these limits are accurately estimated. An additional escalation mechanism is developed to prevent safety critical behavior of the vehicle if errors are made during estimation of the relevant limits. The proposed approach hence encapsulates information within the vehicle and enables a greater separation of planning and execution stages as well as the use of different planning algorithms with a common controller. It can therefore raise the reusability of developed functions and reduce the necessary customization of algorithms to a specific vehicle architecture.
Predicting Station-level Peak Hour Ridership of Metro Considering the Peak Deviation Coefficient
Authors: Yu Lijie , We Jie 
Published: July 2023

Abstract
Subway station-level peak hour ridership (SPR) is a crucial input parameter for multiple applications, including the planning, design, construction, and operation of stations. However, traditional SPR estimation techniques may produce biased results. A unified peak hour factor (PHF) extracted from the line level is generally set for all attributed stations, which ignores the possible peak deviation that arises between the station and line and the wide variation of PHFs in practice. This study presents a comprehensive and refined estimation framework for SPR that accommodates the peak deviation context by introducing the peak deviation coefficient (PDC). Moreover, the estimation of the PDC and PHF variability is improved by constructing spatial regression based relationship models. The empirical results show that the proposed approach exhibits wider applicability and higher prediction precision across all types of peak periods considered as compared to conventional methods (i.e., MAPE decreases of 0.115-0.351). The findings of this study demonstrate the importance of the consideration of the peak deviation scenario and the spatial dependency in SPR estimation to achieve better decision-making. Moreover, the underlying influencing mechanism of the PHF and PDC at distinct peak periods is further revealed using the spatial model. This provides critical theoretical references and policy implications to prudently deploy land-use resources to balance the travel demand between peak and off-peak periods, and thus to enhance the line operation efficiency.
Arbitrary repetition-rate control of periodic optical pulse trains based on a phase modulator cascaded with an optical tapped delay line structure
Authors: Xinhang Wei , Hongqian Mu , Muguang Wang , Xiangshuai Guan 
Published: July 2023

Abstract
We propose a novel method to achieve arbitrary repetition-rate control of periodic optical pulse train. The scheme is based on the combination of a phase modulator (PM) and an optical tapped delay line (OTDL) structure. The PM is utilized to adjust the start point of input pulse train on the Talbot carpet. We theoretically derive the corresponding relation between the dispersion amount and the OTDL structure in performing temporal Talbot effect. According to the relation, the OTDL structure is designed to provide equivalent dispersion amount that repetition-rate multiplication or division requires. Through proper selection of the start point and destination on the Talbot carpet, we can realize arbitrary control of optical pulse trains’ repetition-rate, including integer repetition-rate multiplication, fractional repetition-rate multiplication, integer repetition-rate division and fractional repetition-rate division. Several numerical simulations have been performed and the results are in accordance with theoretical analysis. The effects of delay deviation and phase deviation of the OTDL structure on the output optical pulse train have also been discussed.
Cryo-EM reveals variation in structural motifs within animal SARS-related coronavirus spike proteins
Authors: Bostina Mihnea , Hills Francesca , Eruera Alice-Roza , Jorge Fátima , Easingwood Richard , Hodgkinson-Bean James , Brown Simon , Bouwer James , Burga Laura 
Published: July 2023

Abstract
SARS-CoV-2 is the third known coronavirus (CoV) that has crossed the animal-human barrier in the last two decades. However, little structural information exists related to the close genetic species within the SARS-related coronaviruses. Here, we present three novel SARS-related CoV spike protein structures solved by single particle cryo-electron microscopy analysis derived from bat (SL-CoV WIV1) and civet (CoV-SZ3, CoV-007) hosts. We report complex glycan trees that decorate the glycoproteins and density for water molecules which facilitated modeling of the water molecule coordination networks within structurally important regions. We note structural conservation of the fatty acid binding pocket and presence of a linoleic acid molecule, which are associated with stabilization of the receptor binding domains in the “down” conformation. Additionally, the N-terminal biliverdin binding pocket is occupied by a density in all the structures. Finally, we analyzed structural differences in a loop of the receptor binding motif between coronaviruses known to infect humans and the animal coronaviruses described in this study, which regulate binding to the human angiotensin converting enzyme 2 receptor. This study offers a structural framework to evaluate the origins of SARS-CoV-2, the risk of future cross-species transmission, the ability to inform pandemic prevention, and aid in the development of pan-neutralizing treatments.
The Influence of Perceived Spiciness on Actual Taste Experience: An Experimental Study
Authors: CHEOK Adrian , Cai Jun , Yan Ying 
Published: July 2023

Abstract
This study investigates the influence of information on the perception of spiciness. We conducted an experiment with 10 subjects, each of whom was given food with a spiciness level ranging from 1 to 10. The subjects were informed about the spiciness level of the food, but the information given was randomly varied to be higher or lower than the actual spiciness level. The subjects' perceived spiciness level was then measured. Our results show a significant influence of information on the perception of spiciness. On average, the perceived spiciness level was found to be about 22\% different from the actual spiciness level, with a range from 12\% to 40\%. This effect was observed for all subjects and across all spiciness levels. These findings have implications for understanding the psychological factors that influence the perception of sensory experiences.
Enhancing Stability Control of Inverted Pendulum Using Takagi-Sugeno Fuzzy Model with Disturbance Rejection and Input-Output Constraints
Authors: Nguyen Thi-Van-Anh , Dong Bao-Trung , Bui Ngoc-Tam 
Published: July 2023

Abstract
The Takagi-Sugeno (T-S) fuzzy model is a versatile approach widely used in system control, often in combination with other strategies. This paper addresses key control challenges linked to the T-S system and presents important considerations to ensure its successful application using the Lyapunov theorem. One crucial aspect is determining the optimal number of premise variables and selecting accurate fuzzy rules for the T-S model. Additionally, the theorem based on Linear Matrix Inequality (LMI) is developed to enable effective disturbance rejection. To enhance stability control, constraints are imposed on the output angle and control input of a rotary inverted pendulum (RIP). By integrating T-S fuzzy control, disturbance rejection, and input/output constraints, robust stability in controlling the RIP is achieved. Extensive simulations are performed to showcase the efficiency of the suggested method, and the simulation results are thoroughly discussed and analyzed to verify the efficacy of the control method.
Multi-step prediction of TBM tunneling speed based on EWT-ICEEMDAN-SSA-LSTM hybrid model
Authors: Yang Yaohong , Liu Defu , Yang Shuwen , Zhang Zhixiao , Sun Xiaohu 
Published: July 2023

Abstract

Accurate prediction of tunneling speed in tunnel boring machine (TBM) construction is the basis for timely adjustment of operating parameters of TBM equipment to ensure safe and efficient tunneling. In this paper, a multi-step prediction model of TBM tunneling speed based on EWT-ICEEMDAN-SSA-LSTM hybrid model is proposed. Firstly, four data sets are selected under different geological conditions, and the original data are preprocessed using the binary discriminant function and the 3\(\sigma\)principle, and secondly, the preprocessed data are decomposed using the empirical wavelet variation (EWT) to obtain several subseries and residual series, and the residual series are decomposed again by the improved adaptive noise fully ensemble empirical modal decomposition (ICEEMDAN). Finally, several subsequences are substituted into the long and short term memory (LSTM) network with sparrow search algorithm (SSA) optimization for multi-step training and prediction, and the prediction results of each subsequence are summed to obtain the final results. The comparison with existing models shows that the performance of the proposed prediction method outperforms other models, and the average accuracy reaches 99.06%, 98.99%, 99.07% and 99.03% from the first step prediction to the fifth step prediction in four data sets, indicating that the method has high multi-step prediction performance and generalization ability, which can provide reference for other projects.
Efficacy of a full management model in daytime surgery for gastrointestinal polyps based on WeChat: a study protocol for randomised controlled trials
Authors: Zhou Xin , Wu Jiao , Li Hong , Zeng Xin , Luo Huai-li 
Published: July 2023

Abstract
Objective: To explore the feasibility and effectiveness of a full management model based on WeChat platform in patients undergoing daytime gastrointestinal polypectomy.
Methods: 593 patients were randomly divided into two groups: the control group was treated with traditional management methods, and the experimental group was treated with the whole-process management mode based on the WeChat platform. The WeChat platform-based full management model included establishing a day surgery management WeChat group, developing multidisciplinary, full-management protocols and processes for day surgery, establishing an information-based surgical scheduling system, and adopting diverse forms of day surgery education and continuity of care. This feature included illustrated brochures, vivid verbal presentations, WeChat public numbers, and Internet management platforms. The treatment time, hospitalization cost and patient satisfaction of the two groups were counted.
Results: In the experimental group, 408 patients were enrolled. The pre-operative waiting time and patients' length of stay was 3 days and 1 day. The medical and nursing intake time was 7 minutes. The procedure cancellation rate and post-operative complications rate was 0.07% and 0.02%. In the control group, 185 patients were enrolled in the study, The pre-operative waiting time and patients' length of stay was 7 days and 3 days. The medical and nursing intake time was 28 minutes. The procedure cancellation rate and post-operative complications rate was 0.13% and 0.05%. The hospitalization costs were reduced by an average of $140/person and the satisfaction scores were higher than control group.
Conclusion:Through the full management model based on WeChat, the preoperative waiting time, medical reception time, surgical cancellation rate, length of hospital stay, and hospitalization cost in the experimental group were less than those in the control group. Patient satisfaction scores were significantly higher than those in the control group and the difference was statistically significant.