bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of outdoor thermal comfort using three-dimensional microclimate modelling in Surabaya
Authors: Firdaus Z M , Handayani H H 
Published: December 2021

Abstract
Surabaya is one of the metropolitan cities in Indonesia. The large population in Surabaya causes a lot of development and land conversion. This situation can affect the temperature in Surabaya to be higher than the surrounding area, thus affecting the comfort of people for outdoor activities. The level of comfort can be known when the microclimate conditions in the area have been identified. This paper aims to analyze outdoor thermal conditions using temperature, humidity, wind, and land use data which will be visualized in three dimensions to get a more comprehensive understanding. This research is located in Pakuwon Trade Center (PTC). Data acquisition was carried out on four different types of land cover, namely local residential, apartments, main parking lots, and real estate area. The results show that apartments have the lowest comfort index followed by real estate, local residential, and main parking lots. However, the four areas have comfort from warm to hot with a predicted percentage of the discomfort of around 75% - 100%. This number shows that mitigation that can reduce extreme heat and increase outdoor comfort in PTC is needed.
Analysis of Tsunami Wave Height, Run-up, and Inundation in The Coastal of Blitar and Malang Regency
Authors: Armono Haryo Dwito , Putra Adryanto Rama , Wahyudi  
Published: December 2021

Abstract
Indonesia is an archipelago located at the meeting point of 3 tectonic plates which constantly collide over time, the energy due to the collision will accumulate and be able to cause large earthquakes that can generate tsunamis. The island of Java is in the subduction zone of these plates, which causes the southern part of Java to have a high earthquake potential. On April 10, 2021, an earthquake measuring M 6.1 occurred in the south of Blitar and Malang. This earthquake was felt by most of the people of East Java, If the earthquake is large enough, it can cause a tsunami on the southern coast of East Java. Therefore, modeling was carried out using the FLOW module of Delft3D software while using earthquake parameters with a strength of M 9.1 which is the worst possible scenario on the southern coast of East Java. The results of this study indicate the fastest tsunami arrival time is 21 minutes, the highest maximum tsunami height is 20 meters, the highest run-up reaches 17,5 meters, and the furthest inundation reaches 765 meters along the southern coast of Blitar and Malang Regency.
OIL PATTERN IDENTIFICATION ANALYSIS USING SEMANTIC DEEP LEARNING METHOD FROM PLEIADES-1B SATELIITE IMAGERY WITH ARCGIS PRO SOFTWARE (Case Study: Village “A”)
Authors: Anita Novi , Sukojo Bangun Muljo , Meisajiwa Sondy Hardian , Romadhon Muhammad Alfian 
Published: December 2021

Abstract
There are many petroleum mining activities scattered in developing countries, such as Indonesia. Indonesia is one of the largest oil-producing countries in Southeast Asia with the 23rd ranking. Since the Dutch era, Indonesia has produced a very large amount of petroleum. One of the oil producing areas is “A” Village. There is an old well that produces petroleum oil which is still active with an age of more than 100 years, for now the oil well is still used by the local community as the main source of livelihood. With this activity, resulting in an oil pattern around the old oil refinery, which over time will absorb into the ground. This study aims to analyze and identify the oil pattern around the old oil refinery in the “A” area. The data used is in the form of High-Resolution Satellite Imagery (CSRT), namely Pleiades-1B with a spatial resolution of 1.5 meters. Data were identified using the Deep Learning Semantic method. For the limitation of this research is the administrative limit of XX Regency with a scale of 1: 25,000 as supporting data when cutting the image. The method used is the Deep Learning Convolutional Neural Network series. This research is based on how to wait for the method of the former oil spill which is the consideration of the consideration used. This study produced a land cover map that was classified into 3 categories, namely oil patterns area, area not affected by oil and vegetation. As a supporting value to show the accuracy of the classification results, an accuracy test method is used with the confusion matrix method. To show the accuracy of this study using thermal data taken from the field. Thermal data used in the form of numbers that show the temperature of each land cover. Based on the above reference, a research related to the analysis of very high-resolution image data (Pleiades-1B) will be conducted to examine the oil pattern. This research uses the deep learning series convolutional neural network (CNN) method. With this research, it is hoped that it can help agencies in knowing the right method to identify oil in mainland areas.
Preliminary Study of Probolinggo Active Fault in East Java Based on Gravity Method
Authors: Rochman Juan Pandu Gya Nur , Purwanto M.Singgih , Hilyah Anik , M. Haris Miftakhul F , Nuswantara Mohamad Setyo Ari , Nuriyah Syafiatun 
Published: December 2021

Abstract
The Gravity Method based on TOPEX satellite data is a one of geophysical method which from satellite observations. The gravity method investigate the gravitational field from one to another observation point. The principle of this method has the ability to distinguish the mass material density from its environment, so that the subsurface structure can be identified. In this research, gravity method is used to identify subsurface structures that are suspected of Probolinggo Fault and identify the rock lithology. From TOPEX we get free air anomaly and then applied the correction process to obtain Complete Bouguer Anomaly (CBA) value. The CBA value is processed interpolation to create CBA map, and then the map is filtered by butterworth to obtain regional and residual maps. The value of high gravity acceleration is 0.076 - 19.74 mGal indicating compact rocks. Meanwhile, based on the residual anomaly map, the value of smaller gravity acceleration is -0.92 - 0.9 mGal indicates lower compacting rocks with smaller mass. The gravity acceleration contrast on the residual anomaly, on the north side of fault line (0.12 mGal to 0.45 mGal) and on the south side (-0.92 mGal to -0.043 mGal), is interpreted as normal fault. Furthermore, 3D modelling shows density value less than 2 gr/cm3 we can interpret as pyroclastic fall, in between 2 gr/cm3 until 2.4 gr/cm3 is sandstone and more than 2.4 gr/cm3 is igneous rock such as andesit. 2D slicing modelling show presence the shear fault, so we can suspect this area have oblique fault with west-east direction.
The Effect of Greenness Index on Case Fatality Rate of Covid-19 Analyzed by Using Landsat-8 Image (Case Study: DKI Jakarta)
Authors: Adiba Aqiyasa , Jaelani Lalu Muhamad 
Published: December 2021

Abstract
COVID-19 is spreading into Indonesia and has reached tens of thousands of cases as of September 30, 2020. It was recommended by the American Public Health Association and the Centers for Disease Control and Prevention to remain physically active during COVID-19 quarantine by regularly visiting parks and green spaces as it can protect the body against the consequences of quarantine impacting physical and mental health. In this research, green space was monitored by using remotely sensed data. The green space distribution was obtained from the calculation of the Greenness Index from Landsat-8 Surface Reflectance Tier 1 satellite imagery processed through the Google Earth Engine platform. This study was conducted to determine the value of Greenness Index (GI), Case Fatality Rate (CFR) value due to COVID-19, and the relationship between them in 42 sub-districts in DKI Jakarta in the period of April to September 2020. Twenty-eight subdistricts (67%) showed negative correlation values that indicated that more green space in a region affects lower CFR growth.
HHLA2 Immune Checkpoint Is a Novel Prognostic Predictor in Hepatocellular Carcinoma
Authors: Liao Xiaoyan , Zhang Dongwei 
Published: December 2021

Abstract

Objectives
Immunotherapy targeting PD-1/PD-L1 had low response rates and limited overall survival benefits in patients with hepatocellular carcinoma (HCC). We characterized the expression pattern and clinical significance of B7 family immune checkpoint proteins HHLA2, PD-L1, and B7-H4 in HCC.

Methods
Immunohistochemistry for HHLA2, PD-L1, B7-H4, CD3, and CD8 was performed on tissue microarray slides from 103 surgically resected HCC specimens.

Results
Positive HHLA2 was detected in 63 (61.2%) cases, with 50 cases showing low expression and 13 cases showing high expression. Positive PD-L1 (combined positive score [CPS] ≥1) was detected in 27 (26.2%) cases, with the majority showing low expression (CPS &lt;10) (n = 25) and only 2 cases showing high expression (CPS ≥10). The coexpression of PD-L1 and HHLA2 was observed in 17 (16.5%) cases. B7-H4 expression was detected in only one (1.0%) case. HHLA2-positive cases had significantly better survival than HHLA2-negative cases (P = .042). Positive HHLA2 correlated with higher density of CD8+ intratumoral lymphocytes (P = .015). The subgroup with both HHLA2 expression and high CD8+ cell density exhibited the most favorable prognosis (P = .036).

Conclusions
HHLA2 is frequently expressed in HCC. Positive HHLA2 correlates with higher CD8+ cell density and favorable prognosis. HHLA2 may be considered a potential therapeutic immune target in HCC.
Cortical tracking of formant modulations derived from silently presented lip movements and its decline with age
Authors: Suess Nina , Hauswald Anne , Reisinger Patrick , Rösch Sebastian , Keitel Anne , Weisz Nathan 
Published: December 2021

Abstract
The integration of visual and auditory cues is crucial for successful processing of speech, especially under adverse conditions. Recent reports have shown that when participants watch muted videos of speakers, the phonological information about the acoustic speech envelope, which is associated with but independent from the speakers’ lip movements, is tracked by the visual cortex. However, the speech signal also carries richer acoustic details, for example, about the fundamental frequency and the resonant frequencies, whose visuophonological transformation could aid speech processing. Here, we investigated the neural basis of the visuo-phonological transformation processes of these more fine-grained acoustic details and assessed how they change as a function of age. We recorded whole-head magnetoencephalographic (MEG) data while the participants watched silent normal (i.e., natural) and reversed videos of a speaker and paid attention to their lip movements. We found that the visual cortex is able to track the unheard natural modulations of resonant frequencies (or formants) and the pitch (or fundamental frequency) linked to lip movements. Importantly, only the processing of natural unheard formants decreases significantly with age in the visual and also in the cingulate cortex. This is not the case for the processing of the unheard speech envelope, the fundamental frequency, or the purely visual information carried by lip movements. These results show that unheard spectral fine details (along with the unheard acoustic envelope) are transformed from a mere visual to a phonological representation. Aging affects especially the ability to derive spectral dynamics at formant frequencies. As listening in noisy environments should capitalize on the ability to track spectral fine details, our results provide a novel focus on compensatory processes in such challenging situations.
Predictors of Severe Acute Respiratory Syndrome Coronavirus 2 Infection Following High-Risk Exposure
Authors: Andrejko Kristin L , Pry Jake , Myers Jennifer F , Openshaw John , Watt James , Birkett Nozomi , DeGuzman Jennifer L , Barbaduomo Camilla M , Dong Zheng N , Fang Anna T , Frost Paulina M , Ho Timothy , Javadi Mahsa H , Li Sophia S , Tran Vivian H , Wan Christine , Jain Seema , Lewnard Joseph A ,   California COVID-19 Case-Control Study Team, Samani Helia , Walas Nikolina , Xavier Erin , Poindexter Diana J , Dabbagh Najla , Spinosa Michelle M , Saretha Shrey , Cornejo Adrian F , Park Hyemin , Bermejo Miriam I , Lam Amanda , Kaur Amandeep , Dyke Ashly , Felipe Diana , Spencer Maya , Corredor Savannah , Abdulrahim Yasmine 
Published: December 2021

Abstract

Background
Non-pharmaceutical interventions (NPIs) are recommended for COVID-19 prevention. However, the effectiveness of NPIs in preventing SARS-CoV-2 transmission remains poorly quantified.

Methods
We conducted a test-negative design case-control study enrolling cases (testing positive for SARS-CoV-2) and controls (testing negative) with molecular SARS-CoV-2 diagnostic test results reported to California Department of Public Health between 24 February–12 November, 2021. We used conditional logistic regression to estimate adjusted odds ratios (aORs) of case status among participants who reported contact with an individual known or suspected to have been infected with SARS-CoV-2 (“high-risk exposure”) ≤14 days before testing.

Results
751 of 1448 cases (52%) and 255 of 1443 controls (18%) reported high-risk exposures ≤14 days before testing. Adjusted odds of case status were 3.02-fold (95% confidence interval: 1.75–5.22) higher when high-risk exposures occurred with household members (vs. other contacts), 2.10-fold (1.05–4.21) higher when exposures occurred indoors (vs. outdoors only), and 2.15-fold (1.27–3.67) higher when exposures lasted ≥3 hours (vs. shorter durations) among unvaccinated and partially-vaccinated individuals; excess risk associated with such exposures was mitigated among fully-vaccinated individuals. Cases were less likely than controls to report mask usage during high-risk exposures (aOR = 0.50 [0.29–0.85]). The adjusted odds of case status was lower for fully-vaccinated (aOR = 0.25 [0.15–0.43]) participants compared to unvaccinated participants. Benefits of mask usage were greatest among unvaccinated and partially-vaccinated participants, and in interactions involving non-household contacts or interactions occurring without physical contact.

Conclusions
NPIs reduced the likelihood of SARS-CoV-2 infection following high-risk exposure. Vaccine effectiveness was substantial for partially and fully vaccinated persons.
Hybrid machine learning to localize atrial flutter substrates using the surface 12-lead electrocardiogram
Authors: Luongo Giorgio , Vacanti Gaetano , Nitzke Vincent , Nairn Deborah , Nagel Claudia , Kabiri Diba , Almeida Tiago P , Soriano Diogo C , Rivolta Massimo W , Ng Ghulam André , Dössel Olaf , Luik Armin , Sassi Roberto , Schmitt Claus , Loewe Axel 
Published: December 2021

Abstract

Aims
Atrial flutter (AFlut) is a common re-entrant atrial tachycardia driven by self-sustainable mechanisms that cause excitations to propagate along pathways different from sinus rhythm. Intra-cardiac electrophysiological mapping and catheter ablation are often performed without detailed prior knowledge of the mechanism perpetuating AFlut, likely prolonging the procedure time of these invasive interventions. We sought to discriminate the AFlut location [cavotricuspid isthmus-dependent (CTI), peri-mitral, and other left atrium (LA) AFlut classes] with a machine learning-based algorithm using only the non-invasive signals from the 12-lead electrocardiogram (ECG).

Methods and results
Hybrid 12-lead ECG dataset of 1769 signals was used (1424 in silico ECGs, and 345 clinical ECGs from 115 patients—three different ECG segments over time were extracted from each patient corresponding to single AFlut cycles). Seventy-seven features were extracted. A decision tree classifier with a hold-out classification approach was trained, validated, and tested on the dataset randomly split after selecting the most informative features. The clinical test set comprised 38 patients (114 clinical ECGs). The classifier yielded 76.3% accuracy on the clinical test set with a sensitivity of 89.7%, 75.0%, and 64.1% and a positive predictive value of 71.4%, 75.0%, and 86.2% for CTI, peri-mitral, and other LA class, respectively. Considering majority vote of the three segments taken from each patient, the CTI class was correctly classified at 92%.

Conclusion
Our results show that a machine learning classifier relying only on non-invasive signals can potentially identify the location of AFlut mechanisms. This method could aid in planning and tailoring patient-specific AFlut treatments.
Developing an alcohol harm prevention research agenda in West Africa: a mixed methods approach
Authors: Balenger Adelaide , Umenze Franklin , Dumbili Emeka , Sako Binta , Obot Isidore , Swahn Monica H 
Published: December 2021

Summary
Research on alcohol use and its associated harm is scarce in West Africa. To mitigate the knowledge gap and to build momentum for future research, we determined research priorities for alcohol prevention among stakeholders across nine countries in West Africa. We analyzed a cross-sectional survey conducted in the fall of 2020, distributed by the West African Alcohol Policy Alliance (WAAPA). Respondents represented members of the WAAPA, members of intra-country alliances on alcohol and other stakeholders reached by snowball sampling. Quantitative and qualitative survey measures, adapted from the WHO’s readiness assessment for the prevention of child maltreatment or developed by the research team, assessed research priorities, awareness of alcohol-related harm, risk factors and data availability. We mapped the qualitative answers into general themes and conducted descriptive analysis on the quantitative responses. Participants outlined two general themes to focus on: (i) alcohol use among children and youth and (ii) the health-related impact of alcohol. The most commonly listed types of alcohol-related harms pertained to acute consequences, such as gender-based violence, injuries, traffic crashes and child maltreatment. Risk factors for alcohol-related harm included limited enforcement of alcohol policies, cheap alcohol, and limited knowledge. Strengthening the capacity for addressing these research priorities will be key in reducing alcohol-related harm in West Africa. The goal of these research priorities is to drive research that informs advocacy, programs and policy. In addition to research, an awareness campaign of the health effects of alcohol is urgently needed.
Nutritional evaluation of fish protein hydrolysate and its application in piglet production
Authors: Zhang Nan , Song Xiaoming , Dong Wenxuan , Liu Ling , Cui Zhiying , Ma Yongxi 
Published: December 2021

Abstract
This study was conducted to determine the digestible energy (DE), metabolizable energy (ME), and ileal digestibility of amino acids (AA) of fish protein hydrolysate (FPH), and to evaluate the effects of FPH on the performance of piglets. In Exp. 1, the available energy content of FPH was determined by difference methods: 12 barrows with an initial body weight (BW) of 40.0 ± 2.1 kg were randomly assigned into two dietary treatments with six replicates per treatment, the treatments contained a corn basal diet and an experimental diet in which 20% corn was replaced by FPH. The experiment lasted for 12 d, with 7 d adaptation period followed by 5 d total collection of feces and urine. In Exp. 2, the standardized ileal digestibility (SID) of AA in FPH by the N-free method was determined, 12 barrows (initial BW of 35.3 ± 1.8 kg) with ileal T-cannulas were randomly allotted into two treatments with six replicates per treatment, and the dietary treatments consisted of an experimental diet and a N-free diet. The experiment was lasted for 7 d, with 5 d adaptation period followed by 2 d collection of ileal digesta. In Exp. 3, the effect of FPH on the performance of piglets was conducted. One hundred ninety-two piglets (initial BW of 8.10 ± 1.8 kg) were randomly allotted into four treatments with six replicates per treatment. The treatments were a control diet with fish meal (FM) and part or all FM was replaced by FPH, receiving diets containing 2%, 3%, or 5% FPH. The experiment lasted for 28 d. Results showed that in Exp. 1, the DE and ME of FPH were 21.12 and 20.28 MJ/kg. In Exp. 2, the SID of Lys, Met, Thr, and Trp was 79.99%, 87.17%, 68.29%, and 71.53%, respectively. In Exp. 3, addition of 3% FPH increased nutrient digestibility and volatile fatty acid content in feces. Addition of 5% FPH increased the average daily feed intake (ADFI), significantly increased (P &lt; 0.05) the activities of total antioxidant capacity (T-AOC), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), and immunoglobulin A (IgA), while significantly decreased (P&lt;0.05) the average daily gain (ADG). In conclusion, FPH had a high value of digestible energy and ileal digestible essential amino acids, and could improve nutrient digestibility, immunity, antioxidant capacity, and intestinal health of piglets, while adverse to nitrogen deposition in piglets.
Revision of the coral reef crab genusTweedieiaWard, 1935 (Decapoda: Brachyura: Xanthidae)
Authors: Lasley Robert M , Smith Austin , Paulay Gustav , Ng Peter K L 
Published: December 2021

AbstractXanthid crabs of the genus TweedieiaWard, 1935, are among the most beautiful decapod cryptofauna in Indo-West Pacific coral reefs, with an ornate arrangement of granules and setae, in combination with an eye-catching color pattern. The genus and three recognised species (T. odhneri (Gordon, 1934), T. laysani (Rathbun, 1906), and T. brevidactylaDai & Yang, 1998) are revised, and new diagnoses and figures are provided. The COI barcoding gene of 38 specimens was sequenced and used to generate maximum likelihood and neighbor-joining trees. Tweeedieia brevidactyla is here synonymized with T. odhneri. Tweedieia now comprises only two species, differentiated by morphological characters and sequence data. Tweedieia odhneri ranges from the western Indian Ocean to the Hawaiian Islands and French Polynesia, while the rare T. laysani is only recorded from the Hawaiian Islands. These crabs appear to favor clear, oligotrophic, oceanic waters and are common on oceanic islands and rare around continents and large islands of Australasia.