Low Cost Research Articles

Embryo recovery(rescue) studies in different Vitis species.

In recent years, with the increasing demand for seedless grape varieties that have lower production costs, are disease resistant/tolerant and require less chemical pesticides, the embryo recovery technique has begun to be used more in table grape breeding studies. However, the desired high success rate has not yet been achieved in these studies. Although there are different reasons for this, especially the grape varieties selected for cross-breeding and the timing of transferring the embryos to medium are among the most important reasons. In this study, focusing on these two important factors, the embryos obtained from different hybridization combinations were transferred to agar medium at different weeks for 4 years and the most successful combination and time were determined. In addition, seedless and large berry grape varieties and some seeded varieties that are resistant/tolerant to fungal diseases were selected as parents because they can provide resistance to disease infections in vitro and thus increase the success rate. The results obtained from the study showed that the selected variety and combination significantly affected the success rate in embryo rescue. Especially in combinations with the 'Yalova Seedless' variety as the female parent, more successful results were obtained compared to combinations of other varieties. When 'Yalova Seedless' variety was pollinated with pollen of 'Red Globe', 'Muscat Bailey A' and 'Exalta' varieties, more seedlings were obtained with the help of embryo rescue. The results obtained over four years showed that the best sampling time after pollination was the eighth week and then the seventh week. According to the results obtained, it has been shown that the selected varieties and the sampling time significantly affect the success rate in embryo rescue studies. Therefore, higher success rates can be achieved in comprehensive breeding studies in which they will be included as pollinators, especially in different seeded varieties that are resistant to diseases and have larger berry size.

The use of infrared thermography as an indicator of methane production in hair sheep.

Infrared thermography may be an alternative technology for measuring the amount of CH4 produced and has the advantages of low cost, speed and efficiency in obtaining results. The study's objective was to determine if the infrared thermography is adequate for predicting the emission of CH4 in hair sheep and the best time after feeding to carry out the measurement. Twelve Santa Inês lambs (females, non-pregnant, with twelve months old and mean body weight of 39.3 ± 2.1kg) remained for two days in respirometric chambers, in a semi-closed system, to determine the CH4 production. The animals were divided into two treatments, according to the diet provided. During this period, seven thermographic photographs were taken, at times - 1h, -0.5h, 0h, 0.5h, 1h, 2h, 3h, 5h, and 7h, according to the feeding time, defined as 0h. CH4 production was measured over 24h. Thermographic images measured the maximum, minimum, average and point temperatures at the left and right flanks. The temperature difference between the left and right flanks (left minus right) was calculated each time. Pearson correlation coefficients, multiple regression and principal component analysis were carried out in SAS®. The best prediction of emission intensity of CH4 (kg of CH4 per dry matter intake) was obtained at 3h after feeding: CH4/DMI = 13.9016-0,38673 * DifP2 + 3.39089 * DifMed2 (R² = 0.48), using the difference between left and right flanks for point and average temperature measures. Therefore, infrared thermography can be used as an indicator of CH4 production in hair sheep three hours after feeding.

Predictors of quality of life, economic impact, and loss to follow-up after open tibial shaft fractures in Ghana.

Open tibia fractures are associated with substantial morbidity and impact on quality of life. Despite increasing incidence in low-resource settings, most open tibia fracture research comes from high-resource settings. This study aimed to assess the impact of socioeconomic status on treatment modality and evaluate predictors of health-related quality of life following open tibia fractures in Ghana. A single-center prospective observational study was conducted in Kumasi, Ghana, from May 2020 to April 2022. Adults with open tibial shaft fractures presenting within 2 weeks of injury were eligible. Demographics, comorbidities, socioeconomic factors, and hospital course were collected at enrollment. Follow-up was scheduled at 8, 12, 26, and 52 weeks. A telephone survey assessing reasons for loss to follow-up was initiated on enrollment completion. A total of 180 patients were enrolled. Most patients were employed before injury (79.9%), had government insurance (67.2%), and were from rural areas (59.4%). Fracture classification was primarily Gustilo-Anderson type 3A (49.1%). No relationship between socioeconomic predictors and treatment modality was identified. The largest barriers to follow-up were preference for bonesetter treatment (63.1%), treatment cost (48.8%), and travel cost (29.8%). Of the lost to follow-up patients contacted, 67 (79.8%) reported receiving traditional bonesetter care. Reasons for seeking traditional bonesetter care included ease of access (83.6%), lower cost (77.6%), and familial influence (50.7%). No association was identified between socioeconomic predictors and choice of treatment. Bonesetter treatment plays a substantial role in the care of open tibia fractures in Ghana, largely because of ease of access and lower cost.

Randomized Trial of Transverse vs Vertical Extraction Site Incision After Robotic Radical Prostatectomy.

Incisional hernias are a frequent complication following robotic radical prostatectomy. Observational data in men undergoing robotic prostatectomy suggest that transverse closure resulted in lower hernia rates than vertical closure. We sought to compare the incidence of incisional hernia after robotic radical prostatectomy after vertical and transverse extraction site closure. We conducted a clinically integrated, crossover, cluster randomized trial at a single tertiary referral center (January 2016-September 2021) comparing the rate of hernia after transverse vs vertical extraction site excision in 1356 patients treated with minimally invasive radical prostatectomy. The primary outcome was between-group incidence of incisional hernia within 15 months of prostatectomy defined by physical examination and self-reported patient surveys. Overall, 197 (20%) patients developed an incisional hernia within 15 months, 797 did not have an incisional hernia within this period, and 362 had missing outcome data regarding incisional hernia. We found no significant difference in hernia rates between the 2 incision types (absolute between-group difference 1.8%; 95% CI -3.4%, 6.6%; P = .5) in the primary analysis or in the 3 sensitivity analyses. Notably, because of the inclusive definition of hernia used, these data cannot be used as an estimate of the true prevalence of incisional hernia. Surgeons should choose the incision and closure approach they are most comfortable with when extracting specimens. Studies of modifications to the surgical technique are best conducted as randomized comparisons, and the clinically integrated, crossover, cluster randomized trial allows large trials to be completed at a single center and at low cost. ClinicalTrials.gov: NCT01407263.

Hyperthermophilic composting of livestock waste drastically reduces antimicrobial resistance

Composting is the most common method for managing livestock waste. However, it often fails to effectively eliminate antimicrobial resistance, resulting in potential antimicrobial resistance in livestock waste. Hence, a more effective livestock waste management strategy is warranted. The hyperthermophilic composting method uses recycled compost containing hyperthermophilic microbes to raise the compost temperature up to approximately 100 °C (compost temperature in normal composting: 50–70 °C). This study clarifies the effectiveness of hyperthermophilic composting method in attenuating antimicrobial resistance during livestock waste composting in both a composting simulator and on a field dairy farm. We analyzed bacterial abundance and community composition, performed PCR analysis, and evaluated the concentration of residual antimicrobials in the compost. Hyperthermophilic composting significantly reduced the abundance of culturable bacteria and Escherichia coli including that of antimicrobial-resistant culturable bacteria and E. coli in both the simulated and field dairy farms. The copy numbers of the tested antimicrobial resistance genes (tetA, tetB, blaTEM, and blaCTX-M) decreased substantially. Residual antimicrobials (tetracyclines and β-lactams) were not detected in the field dairy farms, and network analysis showed that potential hosts of antimicrobial-resistance genes were eliminated. These results indicate that hyperthermophilic composting significantly reduces the abundance of antimicrobial-resistant bacteria, antimicrobial-resistance genes, and residual antimicrobials at low cost and easy operation while generating valuable agricultural resource as the final output.

Zn-doped MnCO3 as cathode material for aqueous zinc-ion batteries

Aqueous zinc-ion batteries (AZIBs), known for their high discharge capacity, low cost, and relatively low environmental impact, are a promising alternative for advanced energy storage. The exploration of novel electrode materials and the reaction mechanisms in AZIBs have garnered considerable attention. MnCO3, as an electrode material, is known for its safety, nontoxic nature, and widespread availability as a raw material. Nevertheless several constraints limit the use of MnCO3 cathodes, including short lifespan and reduced electrical conductivity. To resolve these shortcomings, compounds containing Zn, Co and Ni elements were added to improve the properties of the MnCO3 material. The Zn doped MnCO3 (MnCO3-Zn-0.0015M) was successful synthesized by solvothermal, which presents a special microstructure of spherical shell. Not only does the spherical microstructure of the shell enhance the packing density, but the pore configuration within the shell layer also facilitates the insertion and extraction of Zn2+. The MnCO3-Zn-0.0015M material, operating at a current density of 0.1 A∙g-1, exhibited an impressive discharge capacity of 120.4 mAh∙g-1 along with remarkable rate performance. The cathode sustained 75.29% of its capacity following 1000th cycles at current density of 1.0 A∙g-1. Considering these results, the MnCO3-Zn-0.0015M material developed in this study opens a novel avenue for optimizing the use of manganese compounds in aqueous zinc-ion batteries.

Research on Internet of Medical Things: Systematic Review, Research Trends and Challenges

Introduction: Remote data exchange operations in healthcare are observed, consulted, monitored and treated by the Internet of Medical Things (IoMT). It is an extension of the Internet of Things (IoT). Method: At the growing stage of IoT, IoMT is speedily drawing researchers’ interest due to its extensive use in healthcare systems. Smaller and lower-priced wireless devices with various communication protocols have led to the formation of IoMT. Healthcare data is exchanged through wireless communication with IoMT. The margining of IoMT and healthcare can yield multiple benefits in terms of: better quality of life, care services and developing solution/s at low cost. In this article, a systematic literature review has been conducted on IoMT. Results: Authors have thoroughly investigated the different versions of healthcare 1.0, 2.0, 3.0 and 4.0 as proposed by the healthcare industry. Furthermore, the taxonomy of IoMT has been designed and compared with existing surveys. Conclusion: This survey is unique and stands different from the point of view of existing surveys. It supports the future of IoMT researchers to bring new insight to their researches.

Research on the effect of DES properties on the preparation of h-BN nanosheets by electrochemical-liquid phase exfoliation method

Hexagonal boron nitride (h-BN) with a large specific surface area and unique optoelectronic properties has good application prospects in many fields. The liquid phase exfoliation method is considered the most promising method for achieving controllable preparation of boron nitride nanosheets (BNNSs), but the low-cost, relatively environmentally friendly and efficient liquid phase exfoliation is still difficult to achieve. Choosing a suitable solvent system is the key to achieving efficient exfoliation. Deep eutectic solvents (DESs) have the advantages of simple synthesis, low cost, high thermal and chemical stability and strong biocompatibility and are expected to be green solvents for preparation of BNNSs. In this paper, it was found that the properties of DESs and its interaction with h-BN had a significant impact on the electrochemical exfoliation of h-BN. The intercalation effect of DES and the compatibility between DES and h-BN were the main factors affecting the yield, while the quality of BNNSs mainly depended on the decomposition and expansion effect of DES. This rule also can be applied to prepare highly conductive and hydrophilic two-dimensional material Ti-MXene. This research explores the structure–activity relationship between two-dimensional materials and DESs, and provides a theoretical basis for the environmentally friendly and efficient preparation of two-dimensional materials using DESs as exfoliation solvents.

Epigrammatic Review on Heterocyclic Moiety Pyrazole: Applications and Synthesis Routes

Abstract: Heterocyclic compounds are amongst the most promising and versatile classes of biologically important molecules. One of the heterocycle molecules is pyrazole with a five-membered heterocyclic ring with two neighboring nitrogen. Pyrazole and its derivatives have shown a broad range of biological applications like antibacterial, antifungal, antiviral, anti-inflammatory, anti-cancerous, and herbicidal activities. The study of synthetic routes suggests three broad ways: cyclo-condensation of hydrazine and its derivatives on 1,3 difunctional systems, dipolar cycloadditions, and multicomponent reactions. The synthesis of pyrazoles involves the usage of a conventional catalyst and more progressive and efficient nanoparticles as catalysts. The use of nanocatalysts is grabbing the attention of researchers owing to their more efficacy and reproducibility, low cost, reusability, ease of production, etc. The current review is an epigrammatic study on the importance of pyrazole as a biologically important moiety, recent advances in the three aforementioned routes to synthesize pyrazole and its derivatives, and a brief on the importance of nanocatalysts.

Digital clinics for diagnosing and treating migraine.

Several innovative digital technologies have begun to be applied to diagnosing and treating migraine. We reviewed the potential benefits and opportunities from delivering migraine care through comprehensive digital clinics. There are increasing applications of digitization to migraine diagnosis and management, including e-diaries, and patient self-management, especially after the COVID-19 pandemic. Digital care delivery appears to better engage chronic migraine sufferers who may struggle to present to physical clinics. Digital clinics appear to be a promising treatment modality for patients with chronic migraine. They potentially minimize travel time, shorten waiting periods, improve usability, and increase access to neurologists. Additionally, they have the potential to provide care at a much lower cost than traditional physical clinics. However, the current state of evidence mostly draws on case-reports, suggesting a need for future randomized trials comparing digital interventions with standard care pathways.

Case Study: Advanced Technology Underpins Efficiency and Climate-Related Goal Gains

_ Today’s gas-compression operators are under increasing pressure to reduce greenhouse gas (GHG) emissions. Fortunately, multiple technologies are available that can support that objective while enabling operators to move more gas cost-effectively. Embracing such advancements can positively impact a reduced-carbon future without compromising operational efficiency or profitability. To choose the right technologies for a gas-compression package, it’s critical for operators to have a clear understanding of their business and GHG emissions-related goals. Operators also need clarity concerning the impact of evolving requirements on total cost of ownership (TCO) as well as potential financial ramifications. Producing more gas at a lower cost with lower GHG emissions is possible with new technologies. Operators can support their success by choosing the right engine driver for a gas-compression package based on their unique needs and site conditions. It’s critical to consider an engine’s power density and TCO, as that informs an operator’s selections and can lower a gas-compression package’s operating cost in terms of dollars per thousand cubic feet ($/Mcf) of gas throughput. An engine, such as the Cat G3600 A4 Gen 2, that can deliver a 10% power increase compared to the previous model can allow operators to use fewer engines to perform the same amount of work. This advantage can lower capital requirements, reduce operating expenses, and decrease fuel consumption. Fewer engines operating in the field may also contribute to lower GHG emissions. Modernizing Existing Assets Operators prioritize flexibility, durability, and lower TCO. They can support those objectives by choosing an engine platform that allows performance upgrades across the life of the engine. This enables operators to apply advanced technology in their existing fleet year after year without incurring the substantial cost of purchasing a new engine. Engine upgrade kits offer operators an option to maximize and modernize active assets in a streamlined way, as the upgrades can be applied conveniently and cost-effectively at the time of a scheduled overhaul to minimize disruption. For example, by using an upgrade kit for an A4 Gen 1 engine model referenced above, operators can lower volatile organic compounds up to 32%, formaldehyde up to 24%, carbon monoxide up to 13%, methane emissions up to 33%, and total GHG emissions up to 5% on a grams per brake horsepower-hour (g/bhp-hr) basis* while saving the traditional capital expenditure of a new engine. (*Site conditions: Same power level between the G3600 A4 Gen 1 and Gen 2, 85MN, 905 BTU/scf, 100% load, 25°C ambient, 500-ft altitude.) Such updates are relatively cost neutral when applied as part of a scheduled major overhaul and require minimal or no change to the compression package. This makes upgrade kits a wise choice to ensure equipment keeps pace with industry demands.

Identification of municipal solid waste disposal sites for sustainable solid waste management in Cooch Behar Municipality, West Bengal: A RS-GIS based MCDA approach

The proper disposal of solid waste represents one of the most intricate environmental challenges encountered by the municipalities of West Bengal. The municipality of Cooch Behar, a rapidly developing part of the Koch Bihar district of West Bengal, was selected as a case study. A health and environmental threat is created by the disposal of solid waste from the municipality area in an open place in Guriahati G.P., 6 km from the town and near the Torsa River. This study aimsto identify the most suitable areas for the disposal and dumping of municipal solid waste. Using the Analytic Hierarchy Process, the weights of the seventeen causative factors were allocated based on their relevance to identify the appropriate locations. The present study also introduces an innovative methodology employing GIS-based sensitivity analyses to enhance the optimisation of factors influencing suitable solid waste disposal site selection. Three possible waste disposal sites have been identified based on low land costs, the availability of barren land and the distance to settlements and sensitive places. The area under the ROC curve reveals that the AUC value is 0.895, which indicates that the level of accuracy of the model is 89.50 %. With a weight of 0.184, land value was found to be the most important criterion in the model, followed by distance to settlement (0.135) and distance to road (0.123). By carefully choosing suitable locations, this research could assist urban planners in developing a waste management system that is resilient and environmentally sustainable.

Superionic halide solid electrolyte Li1.7Zr0.7Ta0.3Cl6 for durable all-solid-state lithium batteries

Zirconium-based halide solid electrolyte, Li2ZrCl6, with low raw-material cost and high oxidative stability is a promising candidate for next-generation energy storage devices. However, the low ionic conductivity hinders its practical applicability. Herein, we report a new zirconium-based superionic conductor based on high-valence Ta5+ doping strategy. The optimized Li1.7Zr0.7Ta0.3Cl6 (LZTC) exhibits excellent ionic conductivity of 1.42 mS cm-1 at 25°C. Moreover, it can be further increased up to 1.68 mS cm-1 with a low activation energy of 0.28 eV by slightly tuning Li+ concentration. In addition, LZTC possesses a big compact density of 2.67 g cm-3 under 250 MPa and is compatible with 4V-class cathodes. Density function theory (DFT) and bond valence site energy (BVSE) calculations reveal Ta5+ substitution significantly reduces the migration energy barrier of lithium ions due to the distortions and defects of local structural environment. The assembled all-solid-state batteries with Li1.7Zr0.7Ta0.3Cl6 as electrolyte and scNCM811 as cathode show excellent cycling performance for 600 cycles at 1C with a high-capacity retention of 85.7%.

Design and Implementation of Long Range Wide Area Networks forFuture Industrial IoT Applications

Background: The evolution of Long Range Wide Area Networks (LoRaWAN) is a potential candidate for next generation networks for managing the massive number of devices in the Industrial Internet of Things (IIoT). LoRaWAN is more suitable for transmitting smaller intermittent data but using smaller bandwidth over a long distance. Objective: This research paper proposes to design a Low Power Wide Area Network (LPWAN) to provide long-range data transfer for Industrial IoT applications, especially for industrial sensor data. Methods: This research work deploys the experimental setup of LoRaWAN devices using LoRa gateways and Internet of Things network server to evaluate its performance for IIOT applications. Results: The deployment of this LoRaWAN has demonstrated its long range, low power, stability and low deployment cost through extensive performance evaluation carried out. LoRaWAN has been analyzed for its coverage and throughput performance. Conclusion: Through performance analysis, potential enhancements have been identified to overcome its shortcomings. This paper concludes the feasibility of deploying LoRaWAN technology for the future generation IIOT applications.

Cone-Traced Supersampling With Subpixel Edge Reconstruction.

While signed distance fields (SDFs) in theory offer infinite level of detail, they are typically rendered using the sphere tracing algorithm at finite resolutions, which causes the common rasterized image synthesis problem of aliasing. Most existing optimized antialiasing solutions rely on polygon mesh representations; SDF-based geometry can only be directly antialiased with the computationally expensive supersampling or with post-processing filters that may produce undesirable blurriness and ghosting. In this work, we present cone-traced supersampling (CTSS), an efficient and robust spatial antialiasing solution that naturally complements the sphere tracing algorithm, does not require casting additional rays per pixel or offline pre-filtering, and can be easily implemented in existing real-time SDF renderers. CTSS performs supersampling along the traced ray near surfaces with partial visibility - object contours - identified by evaluating cone intersections within a pixel's view frustum. We further introduce subpixel edge reconstruction (SER), a technique that extends CTSS to locate and resolve complex pixels with geometric edges in relatively flat regions, which are otherwise undetected by cone intersections. Our combined solution relies on a specialized sampling strategy to minimize the number of shading computations and correlates sample visibility to aggregate the samples. With comparable antialiasing quality at significantly lower computational cost, CTSS is a reliable practical alternative to conventional supersampling.

Technology Focus: Offshore Facilities (September 2024)

Offshore wind power involves generating electricity from wind farms located at sea. Because wind speeds are generally higher offshore than on land, these farms produce more electricity for the same amount of installed capacity. Both wind and solar energy are renewable and do not emit carbon, which helps reduce dependence on fossil fuels such as oil and gas. The papers synopsized in this year’s Offshore Facilities feature cover a breadth of related subjects that will be critical to the future of the industry. Automation in the offshore oil and gas industry makes production safer, faster, and more efficient. It reduces human error, improves quality control, and allows real-time monitoring of operations. Machine learning improves offshore industries by enhancing safety, efficiency, and sustainability It tracks and predicts environmental changes, such as oil spills or marine life patterns, aiding in better environmental management and response. Remotely operated vehicles are used in offshore operations to inspect, maintain, and repair underwater infrastructure; the offshore industry uses 3D video imaging technology to provide detailed real-time images of the underwater environment. Corrosion in offshore environments occurs because of factors such as seawater, sea salts, temperature, salinity, and moisture. It is crucial to monitor corrosion because it can lead to major structural failures. Hydrogen can be produced offshore using renewable energy sources such as wind and solar, which do not emit greenhouse gases and help combat climate change. Supply-chain logistics boost efficiency by cutting costs, removing unnecessary steps, and speeding up product delivery. An efficient supply chain can lead to higher revenue, lower operational costs, and better overall performance. Decommissioning is the final stage of an oil or gas project and involves significant technical, economic, social, and environmental challenges. It is a lengthy, costly, and complex process that must be carefully planned and managed to avoid serious problems. Several ideas have come to the surface that show innovative ways to repurpose a decommissioned platform or ways to cut the cost of decommissioning. Recommended additional reading at OnePetro: www.onepetro.org. SPE 217706 Dynamic Simulation of Riser-Gas Handling With a Fixed-Choke Constant Outflow by Zhaoguang Yuan, SLB, et al. OTC 35092 Reducing Carbon Footprint by Using Fiber-Reinforced Polymers in FPSOs by S. Eves, NOV, et al. OTC 35393 Challenges and Approaches to Solutions for Green Decommissioning and Recycling of Offshore Facilities by Carlos Alberto Machado, American Bureau of Shipping, et al.

Recycled ionic liquid vs. deep eutectic solvent in cellulose nanocrystals production: characterization, techno-economic analysis, and life cycle assessment

Three scenarios involving aqueous mixtures of neoteric solvents have been evaluated as solvents and catalysts for the cellulose hydrolysis reaction to obtain CNC in high yields (>70%). The scenarios considered were: scenario 1 (S1) involves a recyclable ionic liquid dilution of [Hmim][(HSO4)(H2SO4)]/H2O (64 wt% IL); scenario 2 (S2) another recyclable dilution of [Hmim][(HSO4)(H2SO4)]//H2O (80 wt% IL) and scenario 3 (S3) a non-recyclable ternary deep eutectic solvent (60 wt% DES: choline chloride: oxalic acid/30 wt% PA/10 wt% water). Experimental analysis, techno-economic, and life cycle analysis (LCA) indicate that S1 emerges as a suitable scenario among the three analyzed. S1 demonstrated the highest competitiveness, with a lower raw material cost per gram of CNC produced (US$0.81/g) and lower environmental contributions concerning climate change and fossil fuel depletion, accounting mainly for its recyclability. Therefore, the recyclable dilution of 64 wt% IL used in S1 appears to be the most viable option for sustainable and environmentally conscious CNC production. Besides, the physicochemical properties of the CNC were revealed: aspect ratio range 7-8, high dispersion stability related to zeta potential > -40 mV, good crystallinity range 50-80%, and thermal stability with Tonset> 300 °C. These results guided towards a scenario with crucial advantages: a diluted IL that retains its acidity after reuse cycles by a facile recovery process, maintaining high CNC production performance and providing low environmental impacts.

Early specialised treatment for bipolar disorder: Long-term follow-up from the early intervention in affective disorders (EIA) randomised controlled trial.

It is unclear whether treatment early after onset in bipolar disorder may improve the long-term illness course. The early intervention in affective disorders (EIA) randomised controlled trial found that 2-years treatment in a specialised mood disorder clinic combining evidence-based pharmacological treatment with group psychoeducation improved clinical outcomes compared with standard treatment in patients with bipolar disorder discharged after their 1st, 2nd, or 3rd hospital admission. We aimed to assess the 16 years long-term outcomes after randomisation of the participants in the EIA trial. Data were obtained by linking nation-wide Danish population-based registers. All 158 participants of the EIA trial (Trial Registration Number NCT00253071) were followed from time of randomisation (2005-2009) to end of study (31 December 2021). The primary outcome was risk of psychiatric readmission. Secondary outcomes were total admissions and costs, medication use, intentional self-harm or suicide attempt or suicide, and socio-economic measures. The absolute mean risk of psychiatric readmission was 49.3% in the intervention group and 59.8% in the control group, with no statistically significant difference between the groups (b = -0.10, 95% CI: -0.26 to 0.047, p = 0.18). Compared with the control group, patients in the intervention group had numerically fewer total admission days (mean (SD) 44 (77) versus 62 (109)), lower total cost of psychiatric hospital admissions and hospital-based outpatient visits (mean (SD) 22,001 (36793) euros versus 29,822 (52671) euros) and higher use of lithium and antipsychotics, but the differences were not statistically significant. Fewer patients in the intervention group had an event of intentional self-harm or suicide attempt or suicide during follow-up (OR 0.25, 95% CI: 0.15-0.40, p < 0.001) compared with the control group and more patients in the intervention group used antiepileptics (OR 2.21, 95% CI: 1.08-4.60, p = 0.031). Analyses of very long-term outcomes of the EIA trial may potentially indicate a beneficial effect of the intervention at the long term but were likely underpowered to detect a more subtle effect and for most outcomes the differences between groups were not statistically significant.

Assigned group work is associated with increased student motivation and perceptions of belonging in an asynchronous online physiology laboratory course.

With the rise of online instruction, a better understanding of the factors that contribute to belonging and motivation in these contexts is essential to creating optimal learning environments. Although group work is known to be beneficial to student success, few studies have investigated its role in the context of asynchronous online courses. The present study addresses this gap through a survey of 146 undergraduate students in an asynchronous online physiology lab over two semesters, one with required group work and one without group work. Students were surveyed to evaluate the influence of group work on their motivation and sense of belonging, as well as their perceptions of inclusive and exclusive features of the course. Students assigned to groups had a higher sense of belonging (P = 0.006) and beliefs about their competence (P = 0.002) and perceived lower effort and psychological costs associated with the course (P = 0.04 and 0.04, respectively) compared to students not assigned to groups. Students assigned to groups reported that peer interactions made them feel included in the course (70% of coded responses) while those not assigned to groups valued instructor interactions (51% of coded responses) as inclusive. Negative peer interactions were commonly reported as exclusive by students assigned to groups (28% of coded responses) while a lack of peer interactions (23% of coded responses) made students not assigned to groups feel excluded. These data indicate that assigning groups in asynchronous online courses is an effective way to increase student motivation and perceptions of belonging.NEW & NOTEWORTHY This study explores the effect of assigned group work in an asynchronous online physiology laboratory course on student motivation and belonging. Students' perceptions of belonging and competence-related beliefs were higher, and effort and psychological costs were lower, when assigned to groups compared to students not assigned to groups. Students assigned to groups noted peer interactions as the most inclusive aspect of the course, whereas instructor interactions were noted as inclusive by those not assigned group work.

TENG-driven single-droplet green electrochemical etching and deposition for chemical sensing applications

Selected area electrochemical etching (EE) and electrochemical deposition (ED) are widely used for fabricating microstructures and devices, but they require complex processes and expensive equipment and generate significant electrolyte waste. This study demonstrates a novel single-droplet electrochemical system using a triboelectric nanogenerator (TENG) for self-powered selected area EE and ED reactions. Utilizing TENG's pulsed power, Al nanostructures were created by EE, while nano-Ag and Cu2O nanocubes were synthesized by ED. The generated nanomaterials were applied to detect trace chemicals through the Surface-Enhanced Raman Scattering effect. The electrochemical reaction area can be controlled by droplet size, and patterns can be created using a needle movement platform. The size and density of nanostructures can be adjusted by the TENG's current, collision frequency, and electrolyte concentration. The deposition gradient from the center to the edge of the droplet is controlled by the distance between the needle and the substrate. COMSOL Multiphysics calculations show that a smaller D creates a larger electric field gradient. However, the varied deposition gradients were attributed to competition of electric field, diffusion effects, and capillary flow. This proposed green technology offers low cost, simplicity, no waste electrolyte, and self-powering capabilities, pioneering new research directions in EE and ED.