A novel hierarchical framework for plant leaf disease detection using residual vision transformer.

Early detection of plant leaf diseases accurately and promptly is very crucial for safeguarding agricultural crop productivity and ensuring food security. During their life cycle, plant leaves get diseased because of multiple factors like bacteria, fungi, weather conditions, etc. In this work, the authors propose a model that aids in the early detection of leaf diseases using a novel hierarchical residual vision transformer using improved Vision Transformer and ResNet9 models. The proposed model can extract more meaningful and discriminating details by reducing the number of trainable parameters with a smaller number of computations. The proposed method is evaluated on the Local Crop dataset, Plant Village dataset, and Extended Plant Village Dataset with 13, 38, and 51 different leaf disease classes. The proposed model is trained using the best trail parameters of Improved Vision Transformer and classified the features using ResNet 9. Performance evaluation is carried out on a wide aspects over the aforementioned datasets and results revealed that the proposed model outperforms other models such as InceptionV3, MobileNetV2, and ResNet50.

Biochar production and its environmental applications: Recent developments and machine learning insights.

Biochar production through thermochemical processing is a sustainable biomass conversion and waste management approach. However, commercializing biochar faces challenges requiring further research and development to maximize its potential for addressing environmental concerns and promoting sustainable resource management. This comprehensive review presents the state-of-the-art in biochar production, emphasizing quantitative yield and qualitative properties with varying feedstocks. It discusses the technology readiness level and commercialization status of different production strategies, highlighting their environmental and economic impacts. The review focuses on integrating machine learning algorithms for process control and optimization in biochar production, improving efficiency. Additionally, it explores biochar's environmental applications, including soil amendment, carbon sequestration, and wastewater treatment, showcasing recent advancements and case studies. Advances in biochar technologies and their environmental benefits in various sectors are discussed herein.

A systematic review and meta-regression for validation of the Alvarado score as a tool for predicting acute appendicitis.

The Alvarado score (AS) has not been widely used for diagnosing acute appendicitis although it has shown to be a good predictor for diagnosing appendicitis. The aim was to perform a systematic review of the available literature and synthesize the evidence. Methods: A systematic review was performed as per the PRISMA guidelines using search engines like Ovid, PubMed, and Google Scholar with predefined, strict inclusion and exclusion criteria. The quality assessment of included studies was performed using the QUADAS 2 tool. Summary statistics were performed for all variables. A linear regression model was performed between dependent and independent variables using STATA software. Heterogeneity testing showed significant heterogeneity within the included studies; hence, a forest plot with pooled estimates could not be constructed, and therefore a meta-regression was performed. Results: Seventeen full-text articles met inclusion and exclusion criteria. Ten of which were identified as low-risk studies. Five studies were included in final data pooling with total patients being 2239 and mean age of 31.9 years. (1) Linear regression demonstrated an association between 'histological appendicitis' and 'AS 7-0' with patients receiving intervention, with a significant P value of less than 0.005. (2) Meta-regression demonstrated a positive coefficient (0.298), a positive Z score of 2.20 with a significant P value of 0.028 for patients with 'high AS' who received interventions that were significantly proven to be 'histologically appendicitis', indicating a cause-and-effect relationship. Conclusion: High AS (7 and above) is a significant predictor of acute appendicitis. The authors recommend further prospective randomized clinical trials to establish a cause-and-effect relationship.

Application of machine learning on understanding biomolecule interactions in cellular machinery.

Machine learning (ML) applications have become ubiquitous in all fields of research including protein science and engineering. Apart from protein structure and mutation prediction, scientists are focusing on knowledge gaps with respect to the molecular mechanisms involved in protein binding and interactions with other components in the experimental setups or the human body. Researchers are working on several wet-lab techniques and generating data for a better understanding of concepts and mechanics involved. The information like biomolecular structure, binding affinities, structure fluctuations and movements are enormous which can be handled and analyzed by ML. Therefore, this review highlights the significance of ML in understanding the biomolecular interactions while assisting in various fields of research such as drug discovery, nanomedicine, nanotoxicity and material science. Hence, the way ahead would be to force hand-in hand of laboratory work and computational techniques.

Optimization of process variables on two-step microwave-assisted transesterification of waste cooking oil.

Scale-up and commercialization of biodiesel is often delimited by costly feedstock that adds up to the process costs. These underlying issues demand the exploration of unconventional cheap feed to improve the process economics. Conversion of waste cooking oil (WCO) into biodiesel could reduce the process costs by 60-70%. However, the continuous exposure to heat during frying leads to oxidation as well increase in the free fatty acid (FFA) content which intensifies the time and energy required for transesterification. The present study analyzes the effect of parameters over the conversion of WCO (with 8.17% FFA) into biodiesel via two-step acid-alkali-based microwave-assisted transesterification. Response surface methodology (RSM) was used to optimize the oil:methanol volume ratio, microwave power, and reaction time during the acid-catalyzed esterification to bring down the FFA below 1%. Microwave irradiation of 250 W, with methanol:oil molar ratio of 19.57:1 [oil:methanol volume ratio of 1.31 (expressed as decimal)] and reaction time of 35 s, resulted in 0.082% of FFA. Alkali-catalyzed transesterification with methanol:oil molar ratio of 5:1 with 2% sodium hydroxide at 65 °C thereby produced fatty acid methyl esters (FAMEs) with the volumetric biodiesel yield of 94.6% in 30 min. Physiochemical properties of the transesterified WCO were well comparable with the biodiesel standards. The study highlights the essentiality of multivariate optimization for the esterification process that could aid in understanding the interactive effects of variables over FFA content. Such studies would benefit in scaling up of the transesterification process at industrial level by improving the economics of the overall bioprocess.

Ethics in Child and Adolescent Psychiatry Training: What and How Are We Teaching?

OBJECTIVE: This article describes survey results describing ethics/professionalism curricula of US child and adolescent psychiatry (CAP) residency programs. This project repeated and expanded upon an earlier survey. METHODS: CAP program directors were sent an e-mail with a link to an anonymous electronic survey. RESULTS: Ninety-nine programs responded with 92 completing the majority of the survey. All had instruction during both training years; reading seminars and lectures were the most common teaching formats. The median number of teaching hours was 10. Teaching was considered inadequate by 22%. Confidentiality, child advocacy, and informed consent were the most frequent ethics topics. Communication, patient care during working hours, and conduct at work were the most common professionalism topics. Faculty and resident opinion differed on certain topics. CAPs were preferred educators in 56.5%. External program resources were available to 87% but over 30% used them rarely or never. Faculty evaluations, 360-degree evaluations, and faculty observations were the most common assessment methods; 38% thought trainee assessments need improvement. Programs were classified into more confident and less confident. More confident programs used available ethics resources more frequently (25% vs 8%, p = 0.30) and had more than the median teaching hours (58% vs 35%, p = 0.035). CONCLUSIONS: Compared to the previous study, CAP programs had increased use of interactive methods with more programs reporting having adequate hours. These results are consistent with existing literature confirming the importance of this curriculum but significant issues with adequately educating and evaluating trainees remain.

Survey of physician attitudes towards psychogenic nonepileptic seizures and driving.

BACKGROUND: Physicians from various disciplines encounter patients presenting with psychogenic nonepileptic seizures (PNES) as part of their routine clinical practice. Recommendations towards assessing fitness to drive and reporting are clearer for conditions such as neurocognitive disorders and epilepsy, but such guidelines do not exist for patients with PNES. Here, we assess physicians' attitudes towards driving for patients diagnosed with PNES. METHODS: Electronic questionnaires were sent to Neurology and Family Medicine physicians practicing at Creighton University Medical Center and Psychiatry physicians practicing at Creighton-Nebraska Psychiatry Residency Program to assess their opinion regarding driving risk when encountering PNES. RESULTS: The survey request was sent to 125 physicians, of which close to 60% completed the survey. Eighty-eight percent of participants encountered PNES in their clinical practice, and 69.1% agreed it was a difficult problem to assess, with only 8.3% endorsing a belief that these patients should drive without restrictions. Ninety-three percent felt having guidelines would help them assess the driving risk in this population. CONCLUSION: Psychogenic nonepileptic seizures are common across neurology, psychiatry, and primary care, and most physicians find assessing driving risk in such individuals highly warranted yet difficult. Developing such assessment guidelines and recommendations is of great need for clinicians.

Tension pneumoperitoneum.

A 35-year-old man stopped breathing after injecting a large dose of heroin. He subsequently received cardiopulmonary resuscitation from friends. He arrived to accident and emergency department with Glasgow Coma Scale of 13. On examination, he had distended and tense abdomen. CT Thorax, Abdomen, and Pelvis confirmed massive tension pneumoperitoneum. A 14 Fr intravenous cannula was inserted through the umbilicus to relieve the intra-abdominal pressure. An emergency laparotomy showed petechia along the anterior gastric wall, haematoma of lesser omentum but showed no evidence of gastrointestinal perforation or organ injury. Air leak test performed by insufflating air into the stomach via nasogastric tube and abdomen filled with normal saline showed no leak. On-table oesophagogastroduodenoscopy showed mild oesophagitis and petechia of cardiac gastric mucosa. He was treated with intravenous antibiotics and discharged on the fifth postoperative day with adequate analgesia.

Moderation of prior exposure to trauma on the inverse relationship between callous-unemotional traits and amygdala responses to fearful expressions: an exploratory study.

BACKGROUND: Previous work has shown that amygdala responsiveness to fearful expressions is inversely related to level of callous-unemotional (CU) traits (i.e. reduced guilt and empathy) in youth with conduct problems. However, some research has suggested that the relationship between pathophysiology and CU traits may be different in those youth with significant prior trauma exposure. METHODS: In experiment 1, 72 youth with varying levels of disruptive behavior and trauma exposure performed a gender discrimination task while viewing morphed fear expressions (0, 50, 100, 150 fear) and Blood Oxygenation Level Dependent responses were recorded. In experiment 2, 66 of these youth performed the Social Goals Task, which measures self-reports of the importance of specific social goals to the participant in provoking social situations. RESULTS: In experiment 1, a significant CU traits-by-trauma exposure interaction was observed within right amygdala; fear intensity-modulated amygdala responses negatively predicted CU traits for those youth with low levels of trauma but positively predicted CU traits for those with high levels of trauma. In experiment 2, a bootstrapped model revealed that the indirect effect of fear intensity amygdala response on social goal importance through CU traits is moderated by prior trauma exposure. CONCLUSIONS: This study, while exploratory, indicates that the pathophysiology associated with CU traits differs in youth as a function of prior trauma exposure. These data suggest that prior trauma exposure should be considered when evaluating potential interventions for youth with high CU traits.

Ion mobility-resolved collision-induced dissociation and electron transfer dissociation of N-glycopeptides: gathering orthogonal connectivity information from a single mass-selected precursor ion population.

Glycopeptide-level mass spectrometry (MS) and tandem mass spectrometry (MS/MS) analyses are commonly performed to establish site-specific protein glycosylation profiles that are of central importance to gaining structure-function insights on glycoproteins. Confoundingly, the complete characterization of glycopeptide connectivity usually requires the acquisition of multiple MS/MS fragmentation spectra. Complementary ion fragmentation techniques such as collision-induced dissociation (CID) and electron transfer dissociation (ETD) are often applied in concert to address this need. While structurally informative, the requirement for acquisition of two MS/MS spectra per analyte places considerable limitations upon the breadth and depth of large-scale glycoproteomic inquiry. Here, a previously developed method of multiplexing CID and ETD is applied to the study of glycopeptides for the first time. Integration of the two dissociation methods was accomplished through addition of an ion mobility (IM) dimension that disperses the two stages of MS/MS in time. This allows the two MS/MS spectra to be acquired within a few milliseconds of one another, and to be deconvoluted in post-processing. Furthermore, the method allows both fragmentation readouts to be obtained from the same precursor ion packet, thus reducing the inefficiencies imposed by separate CID and ETD acquisitions and the relatively poor precursor ion to fragment ion conversion typical of ETD. N-Linked glycopeptide ions ranging in molecular weight from 1.8 to 6.5 kDa were generated from four model glycoproteins that collectively encompassed paucimannosidic, high mannose, and complex types of N-glycosylation. In each case, IM-resolved CID and ETD events provided complete coverage of the glycan topology and peptide sequence coverages ranging from 48.4% (over 32 amino acid residues) to 85.7% (over eight amino acid residues). The potential of this method for large-scale glycoproteomic analysis is discussed.

App Use in Psychiatric Education: A Medical Student Survey.

OBJECTIVE: The objective of the study is to understand and appraise app use by medical students during their clerkships. METHODS: Following Creighton University IRB approval, a voluntary and anonymous paper-based, 15-question survey was distributed to third-year medical students. Data were analyzed using Microsoft Excel. RESULTS: Of 112 medical students available, 76.7% (86) participated in the survey. All participants owned a smartphone or tablet with 84.9% using Apple iOS, followed by 12.8% using Android platform. Students reported using the fewest number of apps during surgery, psychiatry, and obstetrics and gynecology clerkships. The largest number of apps were used during the internal medicine rotation (70.3%). The three most popular apps were Epocrates, UpToDate, and UWorld. The most common uses for these apps were as references during the clerkship, followed by improving knowledge, and test taking. Perceived major benefits included accessibility (96% of student respondents) and interactivity (39.5%). Common apps used during the psychiatry clerkship included UpToDate (71%), Epocrates (51%), and Medscape (43%). Despite less frequent app use during their psychiatry clerkship, 90% felt there was a utility for educational apps in psychiatric education. CONCLUSIONS: Consistent with the previous literature on medical students preferring educational apps, students suggest developers focus on question bank-type apps, followed by clinical support-focused and self-directed case-based learning apps for psychiatry clerkship learning. Educators should factor these modes of educational delivery into future educational app development. This survey shows a high degree of smartphone and tablet use among medical students, and they attest to mobile phone app utility in psychiatric education.

Youth with substance abuse histories exhibit dysfunctional representation of expected value during a passive avoidance task.

Individuals with substance abuse (SA) histories show impairment in the computations necessary for decision-making, including expected value (EV) and prediction error (PE). Neuroimaging findings, however, have been inconsistent. Sixteen youth with (SApositive) and 29 youth without (SAnegative) substance abuse histories completed a passive avoidance task while undergoing functional MRI. The groups did not significantly differ on age, gender composition or IQ. Behavioral results indicated that SApositive youth showed significantly less learning than SAnegative youth over the task. SApositive youth show problems representing EV information when attempting to avoid sub-optimal choices in bilateral inferior frontal gyrus and striatum. Furthermore, SApositive youth showed a significantly increased differential response to reward versus punishment feedback modulated by PE in posterior cingulate cortex relative to SAnegative youth. Disrupted decision-making is likely to exacerbate SA as a failure to represent EV during the avoidance of sub-optimal choices is likely to increase the likelihood of SA. With respect to the representation of PE, future work will be needed to clarify the impact of different substances on the neural systems underpinning PE representation. Moreover, interaction of age/development and substance abuse on PE signaling will need to be explored.

Optimizing sequence coverage for a moderate mass protein in nano-electrospray ionization quadrupole time-of-flight mass spectrometry.

Sample pretreatment was optimized to obtain high sequence coverage for human serum albumin (HSA, 66.5 kDa) when using nano-electrospray ionization quadrupole time-of-flight mass spectrometry (nESI-Q-TOF-MS). Use of the final method with trypsin, Lys-C, and Glu-C digests gave a combined coverage of 98.8%. The addition of peptide fractionation resulted in 99.7% coverage. These results were comparable to those obtained previously with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). The sample pretreatment/nESI-Q-TOF-MS method was also used with collision-induced dissociation to analyze HSA digests and to identify peptides that could be employed as internal mass calibrants in future studies of modifications to HSA.

Dysfunctional representation of expected value is associated with reinforcement-based decision-making deficits in adolescents with conduct problems.

BACKGROUND: Previous work has shown that patients with conduct problems (CP) show impairments in reinforcement-based decision-making. However, studies with patients have not previously demonstrated any relationships between impairment in any of the neurocomputations underpinning reinforcement-based decision-making and specific symptom sets [e.g. level of CP and/or callous-unemotional (CU) traits]. METHODS: Seventy-two youths [20 female, mean age = 13.81 (SD = 2.14), mean IQ = 102.34 (SD = 10.99)] from a residential treatment program and the community completed a passive avoidance task while undergoing functional MRI. RESULTS: Greater levels of CP were associated with poorer task performance. Reduced representation of expected values (EV) when making avoidance responses within bilateral anterior insula cortex/inferior frontal gyrus (AIC/iFG) and striatum was associated with greater levels of CP but not CU traits. CONCLUSIONS: The current data indicate that difficulties in the use of value information to motivate decisions to avoid suboptimal choices are associated with increased levels of CP (though not severity of CU traits). Moreover, they account for the behavioral deficits observed during reinforcement-based decision-making in youth with CP. In short, an individual's relative failure to utilize value information within AIC/iFG to avoid bad choices is associated with elevated levels of CP.