Normative modeling of brain morphometry in clinical high risk for psychosis by Haas, Shalaila S., Ge, Ruiyang, Agartz, Ingrid, Amminger, G. Paul, Andreassen, Ole A., Bachman, Peter, Baeza, Inmaculada, Choi, Sunah, Colibazzi, Tiziano, Cropley, Vanessa L., de la Fuente-Sandoval, Camilo, Ebdrup, Bjørn H., Fortea, Adriana, Fusar-Poli, Paolo, Glenthøj, Birte Yding, Glenthøj, Louise Birkedal, Haut, Kristen M., Hayes, Rebecca A., Heekeren, Karsten, Hooker, Christine I., Hwang, Wu Jeong, Jahanshad, Neda, Kaess, Michael, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kindler, Jochen, Koike, Shinsuke, Kristensen, Tina D., Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Lemmers-Jansen, Imke L. J., Lin, Ashleigh, Ma, Xiaoqian, Mathalon, Daniel H., McGuire, Philip, Michel, Chantal, Mizrahi, Romina, Mizuno, Masafumi, Møller, Paul, Mora-Durán, Ricardo, Nelson, Barnaby, Nemoto, Takahiro, Nordentoft, Merete, Nordholm, Dorte, Omelchenko, Maria A., Pantelis, Christos, Pariente, Jose C., Raghava, Jayachandra M., Reyes-Madrigal, Francisco, Røssberg, Jan I., Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Schall, Ulrich, Smigielski, Lukasz, Sugranyes, Gisela, Suzuki, Michio, Takahashi, Tsutomu, Tamnes, Christian K., Theodoridou, Anastasia, Thomopoulos, Sophia I., Thompson, Paul M., Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor G., van Amelsvoort, Therese A. M. J., van Erp, Theo G. M., Waltz, James A., Wenneberg, Christina, Westlye, Lars T., Wood, Stephen J., Zhou, Juan H., Hernaus, Dennis, Jalbrzikowski, Maria, Kahn, René S., Corcoran, Cheryl M., Frangou, Sophia

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Review and empirical analysis of machine learning-based software effort estimation by Rahman, Mizanur, Sarwar, Hasan, Abdul Kader, Md, Goncalves, Teresa C.F., Ting, Tin Tin

“…The evaluation was carried out on seven benchmark datasets: Albrecht, Desharnais, China, Kemerer, Mayazaki94, Maxwell, and COCOMO, which are publicly available and extensively used in SEE research. By carefully reviewing study quality, analyzing results across the literature, and rigorously evaluating experimental outcomes, clear conclusions were drawn about the most promising techniques for achieving state-of-the-art accuracy in estimating software effort. …”
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Uncertainty & robustness for single-cell studies by Shiffman, Miriam

“…To distill relevant signal from biological phenomena, then, analyses must combine information in a careful and coherent way across cells. In light of these complexities, it is prudent that single-cell analyses incorporate notions of uncertainty and robustness to guide their interpretation and inform future decision making. …”
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Influence of water content and anisotropy on the strength and deformability of low porosity meta-sedimentary rocks under triaxial compression by Li, Diyuan, Wong, Louis Ngai Yuen, Liu, Gang, Zhang, Xiao-Ping

“…Before conducting the triaxial tests, the physical properties of meta-siltstone and meta-sandstone specimens have been carefully examined. The water contents of both tested rocks are very low, for instance, 0.17% for meta-siltstone and 0.10% for meta-sandstone. …”
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Production of ammonia feedstock by novel solid oxide electrolysis cell by Haziq Mahmud

“…The wet air co-electrolysis behaviours of the cells were examined carefully under various operation conditions. More importantly, a novel SOEC operation mode was investigated in order to enhance the wet air co-electrolysis reaction at the fuel electrode. …”
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Speeding up deep neural network training with decoupled and analytic learning by Zhuang, Huiping

“…The BRMP not only reduces the memory consumption while keeping its high training efficiency, but also takes care of the potential rank-deficient matrix inversion issue during the analytic learning.…”
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Best practices for ports and shipping companies to build resilience against pandemics by Tan, Hui En

“…Shipping companies such as the Mediterranean Shipping Company (MSC) and Maersk have also exercised care with regards to the safety of all of their employees during COVID-19. …”
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Academic achievement inspired machine learning methods for student grade prediction and at-risk detection by Wei, Qiu

“…Although several types of data exists for prediction, performance-centric data such as assessment scores are often made accessible to administrators, policymakers, instructors, and student care support personnel involved in administering interventions. …”
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农作物秸秆污染防治及综合利用的公共政策研究 ：以江苏省淮安市为例 = On the public policies about pollution prevention and utilization of crops straw : taking HuaiAn city as an example... by 王立喜 Wang, Lixi, 王兴龙 Wang, Xinglong, 王江 Wang, Jiang, 王红红 Wang, Honghong, 孙志标 Sun, Zhibiao

“…With the rapid development of China's rural economy, substantial increase in income of farmers, crop stalks as fuel and other necessities of life, the traditional demand declining, a large number of straw were burned or abandoned and then trigger a series of air and water pollution, soil salinity, fire and traffic Accidents and other social, economic and ecological problems, the government care, social concerns, farmers concerned about the hot and difficult. …”
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Study of online reviewers in a UGC community by Phyu Mon Theint

“…In terms of writing style, intermittent reviewers are more careful about the choice of words and structure of their reviews while the frequent reviewers focus more on the analysis of the movies. …”
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Three physiological responses in fathers and non-fathers’ to vocalizations of typically developing infants and infants with Autism Spectrum Disorder by Esposito, Gianluca, Valenzi, Stefano, Islam, Tanvir, Bornstein, Marc H.

“…Fathers were calmer and acted more promptly than non-fathers while listening to typical cries, perhaps because the fathers had more experience in caring for crying infants. These findings point to similarities and differences in fathers’ and non-fathers’ physiological responsiveness to cries of children with ASD and might guide specific intervention programs for parents of children at risk of ASD.…”
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Investigating protein adsorption at solid-liquid interfaces towards the development of functional biomaterial coatings by Park, Jae Hyeon

“…With the emphasis on the empirical establishment of fundamental insights, this dissertation dives in to the interfacial science of protein-surface interactions using carefully structured experimental designs and intuition-based analyses to form fresh arguments to explain protein adsorption. …”
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The effects and costs of an anti-bullying program (KiVa) in UK primary schools: a multicenter cluster randomized controlled trial by Badger, JR, Bowes, L, Babu, M, Broome, M, Cannings-John, R, Clarkson, S, Coulman, E, Tudor Edwards, R, Ford, T, Hastings, RP, Hayes, R, Lugg-Widger, F, Owen-Jones, E, Patterson, P, Segrott, J, Sydenham, M, Townson, J, Watkins, RC, Whiteley, H, Williams, ME, Stand Together Team, Hutchings, J

“…<p><b>Funding </b></p> The study was funded by the UK National Institute for Health and Care Research (NIHR) Public Health Research program (17-92-11). …”

Imagined futures and relational agency in nurses' writing transitions: a qualitative study across two writing group interventions in a higher education setting by Waite, M

“…The transition from a clinical setting presents difficulties in positioning oneself as a research writer leading to missed opportunities to disseminate outputs that potentially improve health care outcomes.</p> <p>This study explores the transitions of individual nurse clinicians and teachers as they engage with a writing group intervention to write a Master's dissertation or a research article. …”

Diagnostic performance of GENEDIA W and ActiveXpress+ COVID-19 antigens tests among symptomatic individuals in Peru and The United Kingdom by Palomino-Padilla, S, Finch, L, de Vos, M, Savage, H, Villa-Castillo, L, Hayward, G, Cook, E, LSTM diagnostics group, UTB-IMTAvH group, CONDOR steering group, Escadafal, C, Body, R, Adams, ER, Ugarte-Gil, C, Cubas-Atienzar, AI

“…</p> <p><strong>Methods: </strong>Nasopharyngeal swabs collected from 456 symptomatic patients at primary points of care in Lima, Peru and 610 symptomatic participants at a COVID-19 Drive-Through testing site in Liverpool, England were analyzed by Ag-RDT and compared to RT-PCR. …”

Evaluating the home-based intervention strategy (HIS-UK) to reduce new chlamydia infection among young men aged 16–25 years by promoting correct and consistent condom use: findings... by Stone, N, Graham, C, Bremner, S, McGrath, N, Bedford, R, Brown, KE, Newby, K, Clarke, A, Jackson, L, Morrison, L, Nadarzynski, T, To, Y

“…Objective: To compare the HIS-UK intervention to usual condom information and distribution care for effect on chlamydia test positivity. Methods: Trial design A 3-parallel arm randomised controlled trial (1:1:1 allocation, two intervention arms vs. control). …”

Infection patterns of scabies and tinea between inland and resettled indigenous Negrito communities in peninsular Malaysia by Er, Yi Xian, Than, Leslie Thian Lung, Muslim, Azdayanti, Yap, Nan Jiun, Tee, Mian Zi, Abdull-Majid, Nurmanisha, Lee, Soo Ching, Shahrizal, Shezryna, Lim, Yvonne Ai Lian

“…Addressing these infections requires targeted interventions, including regular medical care in inland villages and socio-economic support for resettled communities, considering the distinct predispositions in different village types. …”
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A longitudinal qualitative study on lived experience of oral cancer patients during covid-19 pandemic in khyber pakhtunkhwa Pakistan by Khattak, Maria Ishaq

“…Eight major broad-level themes were derived at T1: (1) pain and generalized physical weakness, (2) shock at diagnosis, (3) psychological distress of the COVID-19 pandemic, (4) faith and religion, (5) double hit loss of employment, (6) social isolation, (7) social support from caregivers, and (8) lack of support from health care professionals. At T2, five major broad-level themes were derived: (1) physical impairment and limitations, (2) psychological vulnerability, (3) reliance on God for protection, (4) availability of social support systems, and (5) financial decline. …”
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Video summarization of person of interest (POI) by Lit, Laura Pei Lin

“…The first contribution of this project is a new enhanced video summarization model which provides additional information centered around a particular Person of interest (POI). …”
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Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment by Rykov, Yuri G., Patterson, Michael D., Gangwar, Bikram A., Jabar, Syaheed B., Leonardo, Jacklyn, Ng, Kok Pin, Kandiah, Nagaendran

“…In addition, we used individually centered data which represents deviations from personal baselines. …”
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